Triple

T2082582
Position Surface form Disambiguated ID Type / Status
Subject Soarin' Around the World E45275 entity
Predicate musicBy P1952 FINISHED
Object Bruce Broughton E289277 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: Bruce Broughton | Statement: [Soarin' Around the World, musicBy, Bruce Broughton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bruce Broughton
Context triple: [Soarin' Around the World, musicBy, Bruce Broughton]
  • A. Bruce Broughton chosen
    Bruce Broughton is an American composer best known for his orchestral film and television scores, including work for Disney attractions and numerous Hollywood productions.
  • B. Stephen Burbank
    Stephen Burbank is a prominent legal scholar and professor known for his expertise in civil procedure and complex litigation at the University of Pennsylvania Law School.
  • C. Denis Barnett
    Denis Barnett was a senior Royal Air Force officer who rose to high command during and after the Second World War.
  • D. John Bluthal
    John Bluthal was a Polish-born British actor best known for his comic roles in British television and film, including his memorable performance in the sitcom "The Vicar of Dibley."
  • E. Gordon Dines
    Gordon Dines was a British cinematographer known for his work on mid-20th-century films, particularly comedies and dramas.
  • 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_69a8891869c88190a02643e3bb746f59 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abba5097ac8190a723a8af2982238c completed March 7, 2026, 5:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb66209bc8190aa030b147e4d34cb completed March 10, 2026, 6:12 a.m.
Created at: March 4, 2026, 7:41 p.m.