Triple

T19152649
Position Surface form Disambiguated ID Type / Status
Subject Dick Vet E468847 entity
Predicate shortName P43 FINISHED
Object Dick Vet 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: Dick Vet | Statement: [Dick Vet, shortName, Dick Vet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dick Vet
Context triple: [Dick Vet, shortName, Dick Vet]
  • A. Dick Vet chosen
    Dick Vet is the informal name for the Royal (Dick) School of Veterinary Studies, a leading veterinary education and research institution of the University of Edinburgh in Scotland.
  • B. Dick Hern
    Dick Hern was a renowned British racehorse trainer celebrated for conditioning numerous top-class thoroughbreds and winning many major flat racing classics.
  • C. Dick Howser
    Dick Howser was an American Major League Baseball manager and former infielder best known for leading the Kansas City Royals to their first World Series championship in 1985.
  • D. Rick Dickson
    Rick Dickson is an American college athletics administrator best known for serving as the athletic director at the University of Tulsa.
  • E. Dick Jol
    Dick Jol is a retired Dutch football referee best known for officiating high-profile international matches, including the 2001 UEFA Champions League Final.
  • 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_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e97dc5a481909a58416126a0862d completed April 20, 2026, 8:53 a.m.
Created at: April 10, 2026, 12:06 p.m.