Triple

T1255537
Position Surface form Disambiguated ID Type / Status
Subject Festival of Festivals E26980 entity
Predicate founder P104 FINISHED
Object Dusty Cohl E46651 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: Dusty Cohl | Statement: [Festival of Festivals, founder, Dusty Cohl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dusty Cohl
Context triple: [Festival of Festivals, founder, Dusty Cohl]
  • A. Dusty Cohl chosen
    Dusty Cohl was a Canadian film producer and cultural promoter best known for co-founding the Toronto International Film Festival and helping elevate Toronto’s global film profile.
  • B. Cheryl Miller
    Cheryl Miller is a legendary American basketball player and coach widely regarded as one of the greatest women’s players in history.
  • C. Teresa Weatherspoon
    Teresa Weatherspoon is a Hall of Fame American basketball player and coach best known as an original WNBA star and defensive standout at point guard.
  • D. Connie Hawkins
    Connie Hawkins was an American Basketball Hall of Famer known for his spectacular, high-flying play in the ABA and NBA, particularly with the Pittsburgh/Minnesota franchise and later the Phoenix Suns.
  • E. Dorothy Patrick
    Dorothy Patrick was a Canadian-born American film actress active in the 1940s and 1950s, known for her supporting roles in Hollywood studio productions.
  • 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_69a49487a9c48190ba9b05348fd1b53f completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bfa726548190911b4022dc1be3c3 completed March 1, 2026, 10:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac9980a2a4819094ab26ac390476be completed March 7, 2026, 9:32 p.m.
Created at: March 1, 2026, 7:47 p.m.