Triple

T20329278
Position Surface form Disambiguated ID Type / Status
Subject Roy Budd E492427 entity
Predicate name P16 FINISHED
Object Roy Budd 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: Roy Budd | Statement: [Roy Budd, name, Roy Budd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roy Budd
Context triple: [Roy Budd, name, Roy Budd]
  • A. Roy Budd chosen
    Roy Budd was a British jazz pianist and film composer best known for his iconic scores to movies such as "Get Carter" and other 1970s and 1980s thrillers.
  • B. Bud Tingwell
    Bud Tingwell was a prominent Australian actor and radio personality known for his extensive career in film, television, and theatre from the mid-20th century onward.
  • C. Roy Biggins
    Roy Biggins is a scheming, boorish rival airline owner and recurring antagonist on the sitcom "Wings."
  • D. Ray Deakin
    Ray Deakin was an English professional footballer, best known as a tough-tackling defender whose performances earned him recognition in the Bolton Wanderers Hall of Fame.
  • E. Roger Butlin
    Roger Butlin is an evolutionary biologist known for his research on speciation and the genetic basis of reproductive isolation in natural populations.
  • 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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e677e637e48190b5582e97fe1000c0 completed April 20, 2026, 7 p.m.
Created at: April 16, 2026, 11:22 a.m.