Triple
T738339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chomskyan linguistics |
E14984
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object |
poverty of the stimulus argument
The poverty of the stimulus argument is a key claim in linguistics that children’s limited and imperfect exposure to language cannot fully explain their rich grammatical knowledge, implying an innate component to language acquisition.
|
E87785
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: poverty of the stimulus argument | Statement: [Chomskyan linguistics, associatedWith, poverty of the stimulus argument]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: poverty of the stimulus argument Context triple: [Chomskyan linguistics, associatedWith, poverty of the stimulus argument]
-
A.
Principles and Parameters Theory
Principles and Parameters Theory is a framework in generative linguistics that explains how universal grammatical principles and language-specific parameter settings account for the diversity and acquisition of human languages.
-
B.
Chomskyan linguistics
Chomskyan linguistics is a theoretical approach to language pioneered by Noam Chomsky that emphasizes humans’ innate linguistic capacity and focuses on the formal, generative rules underlying all natural languages.
-
C.
picture theory of language
The picture theory of language is Ludwig Wittgenstein’s early philosophical view that meaningful propositions function as logical “pictures” of possible states of affairs in the world.
-
D.
Lectures on Government and Binding
Lectures on Government and Binding is a foundational book by Noam Chomsky that systematically presents the Government and Binding framework in generative syntax.
-
E.
Cartesian Linguistics
Cartesian Linguistics is a 1966 book by Noam Chomsky that explores the historical roots of modern linguistics in rationalist philosophy, particularly the Cartesian tradition.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: poverty of the stimulus argument Triple: [Chomskyan linguistics, associatedWith, poverty of the stimulus argument]
Generated description
The poverty of the stimulus argument is a key claim in linguistics that children’s limited and imperfect exposure to language cannot fully explain their rich grammatical knowledge, implying an innate component to language acquisition.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: poverty of the stimulus argument Target entity description: The poverty of the stimulus argument is a key claim in linguistics that children’s limited and imperfect exposure to language cannot fully explain their rich grammatical knowledge, implying an innate component to language acquisition.
-
A.
Principles and Parameters Theory
Principles and Parameters Theory is a framework in generative linguistics that explains how universal grammatical principles and language-specific parameter settings account for the diversity and acquisition of human languages.
-
B.
Chomskyan linguistics
Chomskyan linguistics is a theoretical approach to language pioneered by Noam Chomsky that emphasizes humans’ innate linguistic capacity and focuses on the formal, generative rules underlying all natural languages.
-
C.
picture theory of language
The picture theory of language is Ludwig Wittgenstein’s early philosophical view that meaningful propositions function as logical “pictures” of possible states of affairs in the world.
-
D.
Lectures on Government and Binding
Lectures on Government and Binding is a foundational book by Noam Chomsky that systematically presents the Government and Binding framework in generative syntax.
-
E.
Cartesian Linguistics
Cartesian Linguistics is a 1966 book by Noam Chomsky that explores the historical roots of modern linguistics in rationalist philosophy, particularly the Cartesian tradition.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a4934d9930819099eed80096b0597d |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5f1c9888190b2817138c6893cfe |
completed | March 1, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a64a618c248190ab1bcecba04d3da8 |
completed | March 3, 2026, 2:41 a.m. |
| NEDg | Description generation | batch_69a64b4c8bb88190aa413a4bed256129 |
completed | March 3, 2026, 2:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a64beaafa0819099b02cca0f6c79b7 |
completed | March 3, 2026, 2:48 a.m. |
Created at: March 1, 2026, 7:37 p.m.