Triple

T20960540
Position Surface form Disambiguated ID Type / Status
Subject Ivan Lendl E516229 entity
Predicate coachedPlayer P2169 FINISHED
Object Andy Murray 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: Andy Murray | Statement: [Ivan Lendl, coachedPlayer, Andy Murray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andy Murray
Context triple: [Ivan Lendl, coachedPlayer, Andy Murray]
  • A. Andy Murray chosen
    Andy Murray is a Scottish professional tennis player and multiple Grand Slam champion who has been one of Britain’s most successful and prominent sports figures in the modern era.
  • B. Tom Murray
    Tom Murray is a music supervisor known for overseeing and coordinating the musical elements of film and television projects.
  • C. Tom Murray
    Tom Murray was an American character actor of the silent film era, known for his supporting roles in early Hollywood productions.
  • D. Thomas George Roddick
    Thomas George Roddick was a prominent Canadian surgeon, medical reformer, and politician known for helping to establish standardized medical licensing in Canada.
  • E. Roger Federer
    Roger Federer is a Swiss tennis legend widely regarded as one of the greatest players in the sport’s history, known for his record-breaking Grand Slam titles and elegant playing style.
  • 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_69e0b4fde6c48190af1398e7e734629e completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb6f134081908b1ed48ce708f3d5 completed April 21, 2026, 4:22 a.m.
Created at: April 16, 2026, 1:31 p.m.