Triple

T3740419
Position Surface form Disambiguated ID Type / Status
Subject Tavares E79684 entity
Predicate hasNotableBearer P458 FINISHED
Object John Tavares E90225 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: John Tavares | Statement: [Tavares, hasNotableBearer, John Tavares]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Tavares
Context triple: [Tavares, hasNotableBearer, John Tavares]
  • A. John Tavares chosen
    John Tavares is a Canadian professional ice hockey center and star NHL player known for his scoring ability and leadership.
  • B. Auston Matthews
    Auston Matthews is an elite American professional ice hockey center and one of the NHL’s premier goal scorers, serving as a franchise cornerstone for the Toronto Maple Leafs.
  • C. Jonathan Huberdeau
    Jonathan Huberdeau is a Canadian professional ice hockey winger known as a highly skilled playmaker and former NHL All-Star.
  • D. Connor McDavid
    Connor McDavid is a Canadian professional ice hockey center and captain of the Edmonton Oilers, widely regarded as one of the most talented and dominant players in modern NHL history.
  • E. Patrik Laine
    Patrik Laine is a Finnish professional ice hockey winger known for his elite goal-scoring ability and powerful shot in the NHL.
  • 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_69ad8b115610819095b02007da5ca3cb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb5344fc8190b183aca5c04e3bcc completed March 8, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db23ff3c81908d19295a7ce4a39c completed March 14, 2026, 3:51 a.m.
Created at: March 8, 2026, 3:34 p.m.