Triple

T11821302
Position Surface form Disambiguated ID Type / Status
Subject Clyde Best E281139 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: [Clyde Best, playedFor, Toronto Blizzard]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toronto Blizzard
Context triple: [Clyde Best, 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5e87e488190905bc3bb6d721e56 completed April 10, 2026, 7:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69f1671989f88190b8c1fb520435a25e completed April 29, 2026, 2:04 a.m.
Created at: April 8, 2026, 9:42 p.m.