Triple

T13421619
Position Surface form Disambiguated ID Type / Status
Subject Jay Robert Pritzker E313371 entity
Predicate givenName P17 FINISHED
Object Jay E313371 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 Robert Pritzker, givenName, Jay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jay
Context triple: [Jay Robert Pritzker, givenName, Jay]
  • A. Jay
    Jay is a former American football placekicker and current sports commentator best known for his long NFL career and broadcasting work.
  • B. Jay chosen
    Jay is the given first name of J. B. Pritzker, the American businessman, philanthropist, and governor of Illinois.
  • C. 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.
  • D. Jay
    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.
  • E. Jay
    Jay is a key young activist character in the film "Okja," involved in the animal-rights resistance against a powerful corporation.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb98e808190948013e8f24779c6 completed April 12, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7308493e481909da52f8bbcc0bd6b completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:39 p.m.