Triple

T15674492
Position Surface form Disambiguated ID Type / Status
Subject Quick Change E377404 entity
Predicate author P4 FINISHED
Object Jay Cronley E382649 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 Cronley | Statement: [Quick Change, author, Jay Cronley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jay Cronley
Context triple: [Quick Change, author, Jay Cronley]
  • A. Jay Cronley chosen
    Jay Cronley was an American novelist and newspaper columnist known for his humorous crime and caper stories, several of which were adapted into films.
  • B. Jon Caliri
    Jon Caliri is an actor best known for playing the character Vinnie Pasetta.
  • C. Mark Cronin
    Mark Cronin is an American television producer and creator best known for developing and producing numerous popular reality TV series.
  • D. Eric Crouch
    Eric Crouch is a former American college quarterback best known for his dynamic dual-threat play at the University of Nebraska, where he became one of the nation’s top offensive stars in the early 2000s.
  • E. Kevin Farley
    Kevin Farley is an American actor, comedian, and director known for his work in film and television and for being the younger brother of the late comedian Chris Farley.
  • 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_69d85cd2e28481909d4e975bee20872f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04f2c996c8190a9ebe0e92608feaa completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6edd85148190b6d5c3981204dd77 completed May 9, 2026, 5:29 p.m.
Created at: April 10, 2026, 4:16 a.m.