Triple

T13741928
Position Surface form Disambiguated ID Type / Status
Subject SPOTY E330104 entity
Predicate hasNotableWinner P2766 FINISHED
Object Andy Murray E330102 NE FINISHED

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: [SPOTY, hasNotableWinner, Andy Murray]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andy Murray
Context triple: [SPOTY, hasNotableWinner, 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. 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.
  • E. Tomas Berdych
    Tomas Berdych is a retired Czech professional tennis player known for his powerful baseline game and for reaching the 2010 Wimbledon final and a career-high world No. 4 ranking.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d80772315881908f980cae40d91664 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de0206a4b88190a60914e2b43e54f9 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69f79d6db3a48190a4f3595355f9073b completed May 3, 2026, 7:09 p.m.
Created at: April 9, 2026, 9:55 p.m.