Discourse entities are the people, objects, or ideas a conversation or text talks about and keeps track of over time. In Intro to Semantics and Pragmatics, they matter because meaning often depends on how those entities stay available for later reference.
Discourse entities are the things a stretch of discourse is about, and they are what you keep track of when you read or hear more than one sentence. In Intro to Semantics and Pragmatics, this usually means people, objects, places, times, or abstract ideas that get introduced, then referred back to later. If a text says, “A dog ran into the yard. It was barking,” the dog is now a discourse entity that the pronoun it can pick up.
The useful part is that discourse entities are not just static dictionary meanings. They are part of a running model of what is active in the conversation. Once an entity is introduced, it can stay in the background, get mentioned again, or fade out if the discourse moves on. That is why a short text can feel smooth and coherent even when it uses pronouns, definite descriptions, or omitted information.
A big idea here is that discourse entities can be created in different ways. Sometimes they are introduced directly with a noun phrase, like “a student” or “the red book.” Sometimes they are inferred from context, which is where pragmatics comes in. If someone says, “The front door is open,” you usually assume a particular door in the shared situation, even if it was never fully described before.
This is also where Discourse Representation Theory, or DRT, enters the picture. DRT treats discourse as something that builds up step by step, with discourse entities represented in a structure that records what has been introduced and how later expressions link back to it. That structure helps explain why “Every student lifted a chair. It was heavy” is tricky, because it matters which entity it. You are not only asking what the words mean in isolation, you are tracking how the discourse makes reference possible.
Another thing to watch is that discourse entities can shift in accessibility. Some stay highly active because they keep getting mentioned, while others become less prominent as the discourse goes on. That is why a pronoun can sometimes feel obvious and sometimes feel vague, even when the grammar is fine. The surrounding context decides which entity is the best fit.
Discourse entities matter because a lot of semantic and pragmatic analysis depends on tracing what a pronoun, noun phrase, or definite description is pointing to. If you cannot identify the discourse entity, you cannot explain why a sentence is coherent, ambiguous, or odd. This shows up constantly in reference problems, especially when the same noun is replaced by a pronoun in the next sentence.
The term also gives you a way to talk about context without making it vague. Instead of saying “the meaning depends on context,” you can say which entity is active, which one is newly introduced, and which one later expressions depend on. That makes it easier to explain why a sentence like “A cat walked in. It sat down” sounds natural, while a pronoun with no clear antecedent can sound broken or confusing.
Discourse entities also connect to larger course questions about how meaning builds over time. Semantics alone can tell you what an expression contributes in isolation, but discourse entities show how interpretation grows across a whole text or conversation. That matters for analyzing short dialogues, written narratives, and examples where context changes what counts as a successful reference.
Keep studying Intro to Semantics and Pragmatics Unit 13
Visual cheatsheet
view galleryReferential Expression
A referential expression is the phrase you use to pick out a discourse entity, like a noun phrase or pronoun. Discourse entities are what gets tracked, while referential expressions are the linguistic forms that point to them. When you analyze a sentence pair, you often ask which expression introduces the entity and which one keeps it alive later.
Anaphora
Anaphora is the phenomenon of using a later expression, often a pronoun, to refer back to something already introduced. That “something” is usually a discourse entity. If you are explaining why a pronoun works, you are really explaining how the discourse entity stays accessible enough for the anaphoric link to succeed.
Discourse Representation Theory (DRT)
DRT is the framework that models discourse entities as they accumulate through a conversation or text. Instead of treating each sentence in isolation, DRT keeps a running structure of who or what has been introduced and what relations hold among them. Discourse entities are one of the main things that structure stores.
context dependence
Context dependence explains why a word or phrase can change meaning based on the situation, the prior discourse, or shared knowledge. Discourse entities are one of the clearest cases of this, because the right referent may come from the prior sentences or the shared setting rather than from the phrase alone.
A quiz question or short analysis prompt may give you two or three sentences and ask what a pronoun refers to, why a reference is ambiguous, or how the discourse stays coherent. Your job is to trace the discourse entities, identify which ones were introduced, and show how later expressions pick them up. In a DRT-style question, you may need to explain how the discourse model updates after each sentence. If the prompt includes an unclear pronoun, you should compare the candidate entities and use number, gender, syntactic position, and context to decide which one is most accessible. In a written response, a strong answer names the entity, the referring expression, and the discourse relation between them.
Discourse entities are the people, objects, ideas, or events a text or conversation keeps track of across multiple sentences.
They are not just meanings in isolation, they are meaning as it develops through context and reference.
Pronouns, definite descriptions, and other referring expressions depend on discourse entities staying accessible.
In DRT, discourse entities are represented in a structure that updates as new information is added.
If you can track discourse entities, you can explain coherence, anaphora, and many reference problems more clearly.
Discourse entities are the things a discourse is about, such as people, objects, times, or ideas, that stay available for later reference. In this course, the term matters because meaning often depends on tracking those entities across several sentences, not just understanding one sentence at a time.
Pronouns usually refer back to discourse entities that have already been introduced. If a text says “A girl entered. She smiled,” the pronoun she works because the girl is an active discourse entity. When the reference is unclear, the problem is usually that more than one entity could fit.
A discourse entity is the thing being tracked, while a referential expression is the word or phrase used to point to it. For example, “the book,” “it,” and “that one” can all refer to the same discourse entity. The expression is the form, the entity is the target.
In DRT, discourse entities are stored in a discourse representation structure as the text unfolds. Each new sentence can add an entity, link back to an old one, or change what is most accessible for later reference. That is what makes DRT useful for modeling anaphora and coherence.