Triple

T7523137
Position Surface form Disambiguated ID Type / Status
Subject Michael Kenstowicz E177822 entity
Predicate hasWritten P2831 FINISHED
Object Phonology in Generative Grammar
Phonology in Generative Grammar is a foundational textbook that systematically presents the principles and methods of generative phonology within the framework of modern linguistic theory.
E670668 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: Phonology in Generative Grammar | Statement: [Michael Kenstowicz, hasWritten, Phonology in Generative Grammar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phonology in Generative Grammar
Context triple: [Michael Kenstowicz, hasWritten, Phonology in Generative Grammar]
  • A. 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.
  • B. 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.
  • 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. The Sound Pattern of English
    The Sound Pattern of English is a foundational 1968 work in generative phonology by Noam Chomsky and Morris Halle that systematically analyzes the phonological component of grammar within the framework of transformational-generative linguistics.
  • E. Methods in Structural Linguistics
    Methods in Structural Linguistics is a foundational 1951 work in linguistics that systematically develops the principles and procedures of structural (distributional) analysis of language.
  • 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: Phonology in Generative Grammar
Triple: [Michael Kenstowicz, hasWritten, Phonology in Generative Grammar]
Generated description
Phonology in Generative Grammar is a foundational textbook that systematically presents the principles and methods of generative phonology within the framework of modern linguistic theory.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Phonology in Generative Grammar
Target entity description: Phonology in Generative Grammar is a foundational textbook that systematically presents the principles and methods of generative phonology within the framework of modern linguistic theory.
  • A. 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.
  • B. 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.
  • 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. The Sound Pattern of English
    The Sound Pattern of English is a foundational 1968 work in generative phonology by Noam Chomsky and Morris Halle that systematically analyzes the phonological component of grammar within the framework of transformational-generative linguistics.
  • E. Methods in Structural Linguistics
    Methods in Structural Linguistics is a foundational 1951 work in linguistics that systematically develops the principles and procedures of structural (distributional) analysis of language.
  • 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_69c69f29bf3081909a146aec7755f185 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f7c4f32081908b5162f4551adb6d completed March 27, 2026, 9:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8462d743481909a3cfb6d31d94d98 completed March 28, 2026, 9:20 p.m.
NEDg Description generation batch_69c84765ee64819082d3189c8a768455 completed March 28, 2026, 9:25 p.m.
NED2 Entity disambiguation (via description) batch_69c84828b2c48190a70f3bcd9e7554cc completed March 28, 2026, 9:29 p.m.
Created at: March 27, 2026, 3:46 p.m.