Triple

T22452107
Position Surface form Disambiguated ID Type / Status
Subject Nigel Sears E555018 entity
Predicate coached P2169 FINISHED
Object Ana Ivanovic 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: Ana Ivanovic | Statement: [Nigel Sears, coached, Ana Ivanovic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ana Ivanovic
Context triple: [Nigel Sears, coached, Ana Ivanovic]
  • A. Ana Ivanovic chosen
    Ana Ivanovic is a retired Serbian professional tennis player and former world No. 1 who won the 2008 French Open singles title.
  • B. Jelena Jankovic
    Jelena Janković is a Serbian former world No. 1 tennis player known for her consistency from the baseline and success on the WTA Tour, including reaching the 2008 US Open final.
  • C. Jelena Djokovic
    Jelena Djokovic is a Serbian humanitarian and businesswoman, best known as the wife of tennis champion Novak Djokovic and the co-founder and director of the Novak Djokovic Foundation.
  • D. Bojana Jankovic
    Bojana Jankovic is a Serbian-born physician and wellness expert best known as the wife of American actor Michael Weatherly.
  • E. Andrea Petkovic
    Andrea Petkovic is a retired German professional tennis player known for her powerful baseline game, top-10 singles ranking, and multiple WTA titles.
  • 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_69e11e5113208190ab58c6b595f9d1d0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b4c63e88190aeedc326599edd18 completed April 29, 2026, 1:13 a.m.
Created at: April 16, 2026, 8:48 p.m.