Triple

T5693592
Position Surface form Disambiguated ID Type / Status
Subject The Wedding Banquet E125482 entity
Predicate producer P490 FINISHED
Object Ted Hope E412280 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: Ted Hope | Statement: [The Wedding Banquet, producer, Ted Hope]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ted Hope
Context triple: [The Wedding Banquet, producer, Ted Hope]
  • A. Ted Hope chosen
    Ted Hope is an American independent film producer known for championing innovative, auteur-driven cinema and co-founding the production company Good Machine.
  • B. Bill Heslop
    Bill Heslop is a domineering, corrupt small-town Australian politician and the overbearing father of the protagonist in the film "Muriel's Wedding."
  • C. Harold Morrison
    Harold Morrison was a Jamaican-born architect and academic best known as the former husband of Nobel Prize–winning author Toni Morrison.
  • D. Harold Hopkins
    Harold Hopkins was an Australian actor known for his roles in notable films and television series from the 1970s through the 1990s.
  • E. John Keeble
    John Keeble is an English drummer best known as a founding member of the 1980s new wave band Spandau Ballet.
  • 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_69c0082bb19c8190823a4facd3cba79b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c023e7dbe48190850b501f223614e3 completed March 22, 2026, 5:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a4f2bfc8190bc56c094f9ae9ce1 completed March 22, 2026, 9:08 p.m.
Created at: March 22, 2026, 3:44 p.m.