Triple

T1255535
Position Surface form Disambiguated ID Type / Status
Subject Festival of Festivals E26980 entity
Predicate founder P104 FINISHED
Object Bill Marshall E130038 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: Bill Marshall | Statement: [Festival of Festivals, founder, Bill Marshall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Marshall
Context triple: [Festival of Festivals, founder, Bill Marshall]
  • A. Bill Marshall chosen
    Bill Marshall was a Canadian film producer and cultural entrepreneur best known for co-founding and helping establish the Toronto International Film Festival as a major global cinema event.
  • B. Phil Burke
    Phil Burke is a Canadian actor best known for his role as Mickey McGinnes on the television drama series "Hell on Wheels."
  • C. Kevin McClory
    Kevin McClory was an Irish screenwriter, producer, and director best known for his long-running legal battles and involvement in the creation and adaptation of the James Bond story "Thunderball."
  • D. Christopher Weaver
    Christopher Weaver is an American entrepreneur and video game industry pioneer best known as the founder of ZeniMax Media, the parent company of Bethesda Softworks.
  • E. Alan Osbiston
    Alan Osbiston was a British film editor known for his work on notable mid-20th-century films, including major war and drama 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_69af1731ebe481908ffd1a670ae86286 completed March 9, 2026, 6:53 p.m.
Created at: March 1, 2026, 7:47 p.m.