Triple

T21281279
Position Surface form Disambiguated ID Type / Status
Subject John Tavares E524528 entity
Predicate relative P37 FINISHED
Object John Tavares (ice hockey) 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: John Tavares (ice hockey) | Statement: [John Tavares, relative, John Tavares (ice hockey)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Tavares (ice hockey)
Context triple: [John Tavares, relative, John Tavares (ice hockey)]
  • 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. Morgan Rielly
    Morgan Rielly is a Canadian professional ice hockey defenceman known for playing with the Toronto Maple Leafs in the NHL.
  • D. Alexis Lafrenière
    Alexis Lafrenière is a Canadian professional ice hockey winger and former first overall NHL draft pick who plays for the New York Rangers.
  • E. Trent Opaloch
    Trent Opaloch is a Canadian cinematographer known for his frequent collaborations with directors like the Russo brothers and Neill Blomkamp on major films such as Captain America: The Winter Soldier and District 9.
  • 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_69e0b5171f6c8190a5d57201ede73811 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e736d186988190a5b16fcb669ece9f completed April 21, 2026, 8:35 a.m.
Created at: April 16, 2026, 4:02 p.m.