Triple

T18319409
Position Surface form Disambiguated ID Type / Status
Subject Bernardini E438829 entity
Predicate breeder P24704 FINISHED
Object Darley 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: Darley | Statement: [Bernardini, breeder, Darley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Darley
Context triple: [Bernardini, breeder, Darley]
  • A. Darley chosen
    Darley is the global thoroughbred breeding operation founded by Sheikh Mohammed bin Rashid Al Maktoum, closely linked to his Godolphin racing stable.
  • B. Darley Dale
    Darley Dale is a small town and civil parish in the Derbyshire Dales of England, known for its scenic setting near the Peak District and its historic railway heritage.
  • C. Dorrel
    Dorrel is the given first name of Whitey Herzog, the Hall of Fame Major League Baseball manager and former outfielder.
  • D. Daudley
    Daudley is a surname variant historically associated with the English Audley family.
  • E. Farris
    Farris is a surname most notably associated with Christine King Farris, an American educator, author, and the elder sister of Martin Luther King Jr.
  • 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_69d8b916a2d081909e249e4902f6aad9 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50aa4d3308190883714e1ef6a1d84 completed April 19, 2026, 5:02 p.m.
Created at: April 10, 2026, 10:36 a.m.