Triple

T10894915
Position Surface form Disambiguated ID Type / Status
Subject Chicago 10 E257283 entity
Predicate hasMusicBy P1952 FINISHED
Object Jeff Danna E255691 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: Jeff Danna | Statement: [Chicago 10, hasMusicBy, Jeff Danna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff Danna
Context triple: [Chicago 10, hasMusicBy, Jeff Danna]
  • A. Jeff Danna chosen
    Jeff Danna is a Canadian film composer known for his scores for movies such as The Boondock Saints and various animated and dramatic films.
  • B. David Denman
    David Denman is an American actor best known for his role as Roy Anderson on the U.S. version of "The Office" and for supporting performances in films and television series across comedy and drama.
  • C. Steve Dennis
    Steve Dennis is a writer best known for co-authoring the memoir "Fallin’ Up: My Story."
  • D. Jeff Kleeman
    Jeff Kleeman is a film producer and screenwriter known for his work on major studio projects, including co-writing the 2015 adaptation of "The Man from U.N.C.L.E."
  • E. Jay Gorney
    Jay Gorney was an American composer best known for writing socially conscious songs for Broadway and film, including the music for the classic Depression-era anthem "Brother, Can You Spare a Dime?"
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75d0153408190bcba2d9b03d78804 completed April 9, 2026, 8:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69e623e44c188190b5b83cf8f397554c completed April 20, 2026, 1:02 p.m.
Created at: April 8, 2026, 9:21 p.m.