Triple

T17662510
Position Surface form Disambiguated ID Type / Status
Subject Bob Baffert E440286 entity
Predicate trained P3665 FINISHED
Object Justify 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: Justify | Statement: [Bob Baffert, trained, Justify]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Justify
Context triple: [Bob Baffert, trained, Justify]
  • A. Justify chosen
    Justify is an American Thoroughbred racehorse best known for winning the 2018 Triple Crown.
  • B. Justy
    Justy is a diminutive or affectionate nickname commonly used for the given name Justin.
  • C. Carry
    Carry is the given name of Carry Nation, the American temperance activist famous for attacking saloons with a hatchet in the early 20th century.
  • D. Justa
    Justa was a daughter of the Roman emperor Valentinian I, belonging to the imperial family of the late Western Roman Empire.
  • E. Optimum
    Optimum is a telecommunications brand offering cable television, internet, and phone services, primarily in the United States.
  • 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46ea73c90819087a23a7b6171f581 completed April 19, 2026, 5:56 a.m.
Created at: April 10, 2026, 9:48 a.m.