Triple

T20744414
Position Surface form Disambiguated ID Type / Status
Subject The Decoy Bride E510537 entity
Predicate screenwriter P2831 FINISHED
Object Neil Jaworski NE NERFINISHED

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: Neil Jaworski | Statement: [The Decoy Bride, screenwriter, Neil Jaworski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neil Jaworski
Context triple: [The Decoy Bride, screenwriter, Neil Jaworski]
  • A. Neil Jaworski chosen
    Neil Jaworski is a screenwriter best known for co-writing the romantic comedy film "The Decoy Bride."
  • B. Ron Jaworski
    Ron Jaworski is a former NFL quarterback, best known for leading the Philadelphia Eagles in the late 1970s and early 1980s and later working as a football analyst and commentator.
  • C. Boomer Esiason
    Boomer Esiason is a former NFL quarterback, best known for leading the Cincinnati Bengals to a Super Bowl appearance and later becoming a prominent football broadcaster.
  • D. Bob Griese
    Bob Griese is a Hall of Fame former NFL quarterback for the Miami Dolphins who later became a prominent football television analyst.
  • E. Vinny Testaverde
    Vinny Testaverde is a former American football quarterback who starred at the University of Miami before enjoying a long NFL career with multiple teams.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c21197088190951a4c4a7e765891 completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:33 p.m.