Triple

T21722343
Position Surface form Disambiguated ID Type / Status
Subject Lost in Hollywood E536190 entity
Predicate drummer P15280 FINISHED
Object Cozy Powell NE NERFINISHED

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: Cozy Powell | Statement: [Lost in Hollywood, drummer, Cozy Powell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cozy Powell
Context triple: [Lost in Hollywood, drummer, Cozy Powell]
  • A. Cozy Powell chosen
    Cozy Powell was an influential English rock drummer renowned for his powerful playing and work with bands and artists such as Rainbow, Black Sabbath, and Michael Schenker.
  • B. Roy Lunn
    Roy Lunn is a character portrayed by actor JJ Feild, likely within a film or television production.
  • C. Roy Harris
    Roy Harris was an influential 20th-century American composer best known for his symphonies that drew on folk traditions and a distinctly national musical style.
  • D. Robert Farnon
    Robert Farnon was a Canadian-born composer, conductor, and arranger renowned for his light orchestral music and prolific work in film, radio, and television.
  • E. Harry Gregson Williams
    Harry Gregson-Williams is a British composer best known for his prolific film and video game scores, including work on major Hollywood action and animated features.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46c6dd88190a595375fa6ebd701 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69efd97032c08190820b87a288e77293 completed April 27, 2026, 9:47 p.m.
Created at: April 16, 2026, 6:47 p.m.