Triple
T517573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Standard Theory of generative grammar |
E10741
|
entity |
| Predicate | predecessorOf |
P97
|
FINISHED |
| Object |
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.
|
E64556
|
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: Principles and Parameters Theory | Statement: [Standard Theory of generative grammar, predecessorOf, Principles and Parameters Theory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Principles and Parameters Theory Context triple: [Standard Theory of generative grammar, predecessorOf, Principles and Parameters Theory]
-
A.
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.
-
B.
Standard Theory of generative grammar
The Standard Theory of generative grammar is an early framework in Noam Chomsky’s generative linguistics that formalizes how deep structures are transformed into surface structures to explain the syntax of natural languages.
-
C.
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.
-
D.
Aspects of the Theory of Syntax
Aspects of the Theory of Syntax is a seminal 1965 book by linguist Noam Chomsky that helped establish generative grammar as a central framework in theoretical linguistics.
-
E.
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.
- 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: Principles and Parameters Theory Triple: [Standard Theory of generative grammar, predecessorOf, Principles and Parameters Theory]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Principles and Parameters Theory Target entity description: 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.
-
A.
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.
-
B.
Standard Theory of generative grammar
The Standard Theory of generative grammar is an early framework in Noam Chomsky’s generative linguistics that formalizes how deep structures are transformed into surface structures to explain the syntax of natural languages.
-
C.
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.
-
D.
Aspects of the Theory of Syntax
Aspects of the Theory of Syntax is a seminal 1965 book by linguist Noam Chomsky that helped establish generative grammar as a central framework in theoretical linguistics.
-
E.
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.
- 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_69a2e84a0d08819087e01863fcd9abf1 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f19d81d48190bd65a02059fc8473 |
completed | Feb. 28, 2026, 1:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4a42d1a348190abc23d22bda5d9a2 |
completed | March 1, 2026, 8:40 p.m. |
| NEDg | Description generation | batch_69a4a4a83cb48190a5d80557c5573ab2 |
completed | March 1, 2026, 8:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4a52e4ae081909f880462479fc51f |
completed | March 1, 2026, 8:44 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.