Triple

T9655096
Position Surface form Disambiguated ID Type / Status
Subject Paul Postal E233428 entity
Predicate movement P81 FINISHED
Object generative linguistics E14984 NE FINISHED

How this triple was built (2 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: generative linguistics | Statement: [Paul Postal, movement, generative linguistics]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: generative linguistics
Context triple: [Paul Postal, movement, generative linguistics]
  • A. Chomskyan linguistics chosen
    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.
  • B. Sprachtheorie
    Sprachtheorie is Karl Bühler’s influential work in linguistic theory, best known for its functional model of language and the “organon” theory of signs.
  • C. 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.
  • D. 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.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca848c1ba88190b84b410cd14627fc completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9bdbdd948190a4545a5df0f7af77 completed April 1, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18270dee481909c8d2de1fafdaf5b completed April 4, 2026, 9:28 p.m.
Created at: March 30, 2026, 8:13 p.m.