Triple

T22336270
Position Surface form Disambiguated ID Type / Status
Subject Ana Ivanovic E552153 entity
Predicate coach P2169 FINISHED
Object Nigel Sears 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: Nigel Sears | Statement: [Ana Ivanovic, coach, Nigel Sears]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nigel Sears
Context triple: [Ana Ivanovic, coach, Nigel Sears]
  • A. Nigel Sears chosen
    Nigel Sears is a British tennis coach best known for working with several top WTA players, including former world No. 1 Ana Ivanovic.
  • B. Nigel Hess
    Nigel Hess is a British composer best known for his work on television, film, and theatre scores, including numerous BBC dramas and stage productions.
  • C. Nigel Townsend
    Nigel Townsend is a quirky and brilliant British forensic criminalist on the television drama "Crossing Jordan," known for his dark humor and unconventional investigative methods.
  • D. Nigel Morris
    Nigel Morris is a British-born entrepreneur and investor best known as the co-founder and former president of Capital One, a major U.S. financial services company.
  • E. Nigel Harman
    Nigel Harman is an English actor best known for his roles in television series like EastEnders and for his award-winning stage performances in West End musicals.
  • 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_69e11e494eec81909c4d2d51f69499d9 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1577f2f208190ac6270ac4581fa15 completed April 29, 2026, 12:57 a.m.
Created at: April 16, 2026, 8:43 p.m.