Triple

T13688044
Position Surface form Disambiguated ID Type / Status
Subject Caterina Valente E328183 entity
Predicate spouse P13 FINISHED
Object Roy Budd E492427 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: Roy Budd | Statement: [Caterina Valente, spouse, Roy Budd]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roy Budd
Context triple: [Caterina Valente, spouse, 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. Roy Biggins
    Roy Biggins is a scheming, boorish rival airline owner and recurring antagonist on the sitcom "Wings."
  • C. 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.
  • D. Roger Butlin
    Roger Butlin is an evolutionary biologist known for his research on speciation and the genetic basis of reproductive isolation in natural populations.
  • E. Roy Bland
    Roy Bland is a fictional British intelligence officer and double agent in John le Carré’s George Smiley novels, notably featured as one of the suspected moles in "Tinker Tailor Soldier Spy."
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc670968881908e2b4fdf656c7285 completed April 12, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7b063661481908da569084c20f37c completed May 3, 2026, 8:30 p.m.
Created at: April 9, 2026, 9:53 p.m.