Triple
T13653509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theta Theory |
E326797
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object |
Lexical-Functional Grammar
Lexical-Functional Grammar is a non-transformational theory of syntax that models sentence structure through parallel levels of representation, emphasizing the relationship between grammatical functions and lexical information.
|
E1053408
|
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: Lexical-Functional Grammar | Statement: [Theta Theory, relatedTo, Lexical-Functional Grammar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lexical-Functional Grammar Context triple: [Theta Theory, relatedTo, Lexical-Functional Grammar]
-
A.
Word Formation in Generative Grammar
Word Formation in Generative Grammar is a foundational linguistics monograph that systematically analyzes how words are structured and created within the framework of generative grammar.
-
B.
Mathematical Structures of Language
Mathematical Structures of Language is a foundational work in mathematical linguistics that applies formal and algebraic methods to analyze the structure of natural languages.
-
C.
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.
-
D.
An Introduction to Syntactic Theory
An Introduction to Syntactic Theory is a foundational linguistics textbook that presents the core concepts and analytical tools of generative syntax.
-
E.
Adverbs and Functional Heads: A Cross-Linguistic Perspective
Adverbs and Functional Heads: A Cross-Linguistic Perspective is a seminal syntactic study by Guglielmo Cinque that argues for a richly articulated hierarchy of functional projections to explain the distribution of adverbs and related elements across 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: Lexical-Functional Grammar Triple: [Theta Theory, relatedTo, Lexical-Functional Grammar]
Generated description
Lexical-Functional Grammar is a non-transformational theory of syntax that models sentence structure through parallel levels of representation, emphasizing the relationship between grammatical functions and lexical information.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lexical-Functional Grammar Target entity description: Lexical-Functional Grammar is a non-transformational theory of syntax that models sentence structure through parallel levels of representation, emphasizing the relationship between grammatical functions and lexical information.
-
A.
Word Formation in Generative Grammar
Word Formation in Generative Grammar is a foundational linguistics monograph that systematically analyzes how words are structured and created within the framework of generative grammar.
-
B.
Mathematical Structures of Language
Mathematical Structures of Language is a foundational work in mathematical linguistics that applies formal and algebraic methods to analyze the structure of natural languages.
-
C.
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.
-
D.
An Introduction to Syntactic Theory
An Introduction to Syntactic Theory is a foundational linguistics textbook that presents the core concepts and analytical tools of generative syntax.
-
E.
Adverbs and Functional Heads: A Cross-Linguistic Perspective
Adverbs and Functional Heads: A Cross-Linguistic Perspective is a seminal syntactic study by Guglielmo Cinque that argues for a richly articulated hierarchy of functional projections to explain the distribution of adverbs and related elements across 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc60ace048190a4b92310ba272bd1 |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78affa3c481909dba71e2ce9f44c1 |
completed | May 3, 2026, 5:50 p.m. |
| NEDg | Description generation | batch_69f78d1d7de88190a61c554aa27c439d |
completed | May 3, 2026, 5:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78e00007c81909007a751fd4625c2 |
completed | May 3, 2026, 6:03 p.m. |
Created at: April 9, 2026, 9:52 p.m.