Triple

T6510832
Position Surface form Disambiguated ID Type / Status
Subject Jay Sugarman E150126 entity
Predicate hasGivenName P17 FINISHED
Object Jay E567228 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: Jay | Statement: [Jay Sugarman, hasGivenName, Jay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jay
Context triple: [Jay Sugarman, hasGivenName, Jay]
  • A. Jay
    Jay is a foul-mouthed, slacker stoner character from Kevin Smith’s View Askewniverse, best known as one half of the comedic duo Jay and Silent Bob.
  • B. Jay chosen
    Jay is a masculine given name commonly used in English-speaking countries, often derived from the jaybird or as a short form of names like Jason or James.
  • C. Jay
    Jay is a small town located in Santa Rosa County in the northwestern part of Florida.
  • D. Jay
    Jay is a former American football placekicker and current sports commentator best known for his long NFL career and broadcasting work.
  • E. Jay
    Jay is the given first name of J. B. Pritzker, the American businessman, philanthropist, and governor of Illinois.
  • 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_69c687ef291081909d437f035eef1cda completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c69f3ad7d081909162f1a625fc52b1 completed March 27, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb5dd5b88190b0928b44ebc91609 completed March 27, 2026, 6:24 p.m.
Created at: March 27, 2026, 1:43 p.m.