Triple

T9237411
Position Surface form Disambiguated ID Type / Status
Subject When I Call Your Name E221971 entity
Predicate writer P1360 FINISHED
Object Tim DuBois E169995 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: Tim DuBois | Statement: [When I Call Your Name, writer, Tim DuBois]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tim DuBois
Context triple: [When I Call Your Name, writer, Tim DuBois]
  • A. Tim DuBois chosen
    Tim DuBois is an American music executive and songwriter best known for his influential role in shaping modern country music and developing major artists in Nashville.
  • B. Jack Deerson
    Jack Deerson is a cinematographer best known for his work on the 1971 road movie "Two-Lane Blacktop."
  • C. Tom DuBois
    Tom DuBois is a mild-mannered, upper-middle-class Black lawyer and family man in the animated series "The Boondocks," often portrayed as anxious, conflict-averse, and deeply fearful of the criminal justice system.
  • D. Sam Merlotte
    Sam Merlotte is a shapeshifting bar owner and central figure in the supernatural drama series "True Blood."
  • E. Charlie Jaffey
    Charlie Jaffey is a high-powered, principled defense attorney in "Molly's Game" who helps Molly Bloom navigate her legal troubles with the FBI.
  • 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_69ca83ed628c8190bc02d641e57f097f completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccf09e553081909cf864635cfc5dcc completed April 1, 2026, 10:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077d4c4a881909c80176ddf5101a4 completed April 4, 2026, 2:30 a.m.
Created at: March 30, 2026, 7:29 p.m.