Triple

T7742629
Position Surface form Disambiguated ID Type / Status
Subject Paul Kiparsky E175546 entity
Predicate name P16 FINISHED
Object Paul Kiparsky E175546 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: Paul Kiparsky | Statement: [Paul Kiparsky, name, Paul Kiparsky]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paul Kiparsky
Context triple: [Paul Kiparsky, name, Paul Kiparsky]
  • A. Paul Kiparsky chosen
    Paul Kiparsky is a prominent linguist known for his influential work in generative phonology and historical linguistics.
  • B. Michael Kenstowicz
    Michael Kenstowicz is an American linguist and phonologist known for his influential work on generative phonology and for co-authoring widely used textbooks in the field.
  • C. William C. Stokoe
    William C. Stokoe was a pioneering American linguist whose groundbreaking work established American Sign Language as a legitimate, fully structured natural language.
  • D. Robert Blust
    Robert Blust was an influential American linguist and Austronesian specialist known for his extensive comparative and historical work on the languages of the Pacific and Southeast Asia.
  • E. F. William Sievers
    F. William Sievers was an American sculptor known for creating prominent public monuments and memorials, particularly in the early 20th century.
  • 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_69c6995f9c60819092e386192bd63c6f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70387807081909546bc7c209955ef completed March 27, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be48d61c8190aba1e5f23d7cb1be completed March 29, 2026, 5:53 a.m.
Created at: March 27, 2026, 4:07 p.m.