Triple

T23536765
Position Surface form Disambiguated ID Type / Status
Subject Royal Delta E577619 entity
Predicate trainedBy P3665 FINISHED
Object Bill Mott 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: Bill Mott | Statement: [Royal Delta, trainedBy, Bill Mott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Mott
Context triple: [Royal Delta, trainedBy, Bill Mott]
  • A. Bill Mott chosen
    Bill Mott is a Hall of Fame American Thoroughbred racehorse trainer best known for conditioning champions such as the legendary racehorse Cigar.
  • B. Ogden Phipps
    Ogden Phipps was a prominent American financier, art collector, and influential Thoroughbred racehorse owner and breeder.
  • C. Bob Baffert
    Bob Baffert is a prominent American Thoroughbred racehorse trainer known for conditioning multiple champions and winning numerous Triple Crown and Breeders’ Cup races.
  • D. Bode Baffert
    Bode Baffert is the son of renowned American Thoroughbred racehorse trainer Bob Baffert.
  • E. D. Wayne Lukas
    D. Wayne Lukas is a legendary American Thoroughbred racehorse trainer renowned for revolutionizing the sport and winning numerous Triple Crown and Breeders’ Cup races.
  • 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_69e245f9d5d08190a4a20004e1784e20 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f1ae1738bc81909a7b761ddbaa1883 completed April 29, 2026, 7:07 a.m.
Created at: April 17, 2026, 6:10 p.m.