Triple

T15914756
Position Surface form Disambiguated ID Type / Status
Subject Attack of the Cybermen E385940 entity
Predicate hasThemeMusicComposer P15626 FINISHED
Object Ron Grainer E417907 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: Ron Grainer | Statement: [Attack of the Cybermen, hasThemeMusicComposer, Ron Grainer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ron Grainer
Context triple: [Attack of the Cybermen, hasThemeMusicComposer, Ron Grainer]
  • A. Ron Grainer chosen
    Ron Grainer was an Australian composer best known for writing iconic television themes, including the original Doctor Who theme.
  • B. Victor Young
    Victor Young was an American composer, arranger, and conductor best known for his prolific film scores and popular songs during Hollywood’s Golden Age.
  • C. Bob Thiele
    Bob Thiele was an American record producer and songwriter best known for co-writing the classic Louis Armstrong hit "What a Wonderful World."
  • D. Ralph Rainger
    Ralph Rainger was an American composer best known for his popular film scores and hit songs during Hollywood’s Golden Age.
  • E. Dominic Frontiere
    Dominic Frontiere was an American composer and arranger best known for his distinctive, atmospheric scores for film and television in the 1960s and 1970s, particularly in the science fiction and thriller genres.
  • 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_69d86da686e4819097cbf3b1fc2d881d completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e1566216d481908dd6e3acaa26fd45 completed April 16, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb05b15e8819083b67afa52f46283 completed May 9, 2026, 10:08 p.m.
Created at: April 10, 2026, 4:52 a.m.