Triple

T5718186
Position Surface form Disambiguated ID Type / Status
Subject London Knights E126071 entity
Predicate notableAlumni P51 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: [London Knights, notableAlumni, John Tavares]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Tavares
Context triple: [London Knights, notableAlumni, 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. John Tavares
    John Tavares is a legendary Canadian lacrosse forward widely regarded as one of the greatest players in National Lacrosse League history.
  • C. 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.
  • D. William Nylander
    William Nylander is a Swedish professional ice hockey forward known for his offensive skill and playmaking ability, primarily starring for the Toronto Maple Leafs in the NHL.
  • E. Jonathan Huberdeau
    Jonathan Huberdeau is a Canadian professional ice hockey winger known as a highly skilled playmaker and former NHL All-Star.
  • 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_69c0082e3d548190950169847b43043b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c024e084cc81909a652f7c10d32c32 completed March 22, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07df49eb881908189fc8afb2ed478 completed March 22, 2026, 11:40 p.m.
Created at: March 22, 2026, 3:46 p.m.