Triple

T15948242
Position Surface form Disambiguated ID Type / Status
Subject Lyndon Hooper E386742 entity
Predicate playedFor P2170 FINISHED
Object Toronto Blizzard E365758 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: Toronto Blizzard | Statement: [Lyndon Hooper, playedFor, Toronto Blizzard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toronto Blizzard
Context triple: [Lyndon Hooper, playedFor, Toronto Blizzard]
  • A. Toronto Blizzard chosen
    Toronto Blizzard was a professional soccer club based in Toronto that competed in the original North American Soccer League and later Canadian leagues during the 1970s and 1980s.
  • B. Buffalo Blizzard
    Buffalo Blizzard was a professional indoor soccer team based in Buffalo, New York that competed in the National Professional Soccer League during the 1990s.
  • C. Toronto Blueshirts
    The Toronto Blueshirts were an early 20th-century professional ice hockey team based in Toronto that played a key role in the formation of the NHL’s original Toronto franchise.
  • D. Toronto Rock
    The Toronto Rock are a professional box lacrosse team based in Toronto, Ontario, competing in the National Lacrosse League.
  • E. Toronto Rocket
    The Toronto Rocket is a modern, fully accessible subway train series used by the Toronto Transit Commission on its heavy rail lines.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156d2fda8819085279d2a0f8a02ab completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5c0c8a481908aa7a40bca15e38e completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:53 a.m.