Triple

T13602964
Position Surface form Disambiguated ID Type / Status
Subject Fracture E324988 entity
Predicate musicBy 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: [Fracture, musicBy, Jeff Danna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff Danna
Context triple: [Fracture, musicBy, 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb07ca07481909c45da551ea61ab4 completed April 12, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bad771881908280e3d96be068fc completed May 8, 2026, 3:42 a.m.
Created at: April 9, 2026, 9:49 p.m.