Triple

T492784
Position Surface form Disambiguated ID Type / Status
Subject Rocky E10224 entity
Predicate musicBy P1952 FINISHED
Object Bill Conti E22406 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: Bill Conti | Statement: [Rocky, musicBy, Bill Conti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Conti
Context triple: [Rocky, musicBy, Bill Conti]
  • A. Bill Conti chosen
    Bill Conti is an American composer and conductor best known for his iconic film and television scores, including the music for the Rocky series and various popular TV shows.
  • B. John Debney
    John Debney is an American film composer known for scoring a wide range of movies and television shows, including major studio productions and acclaimed dramas.
  • C. Jerry Goldsmith
    Jerry Goldsmith was an acclaimed American film and television composer known for his innovative and influential scores for works such as "Planet of the Apes," "Star Trek: The Motion Picture," and "The Omen."
  • D. Albert Weinert
    Albert Weinert was a German-American sculptor and monument designer known for his public memorials in the United States.
  • E. John Williams
    John Williams is an acclaimed American composer and conductor best known for his iconic film scores for franchises such as Star Wars, Indiana Jones, Harry Potter, and many others.
  • 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_69a2e847df8481909239ec08ccf1e376 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f0faab4881909f65f172198b5bd2 completed Feb. 28, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4778126a081909cd49d1274d746e3 completed March 1, 2026, 5:29 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.