Triple

T10032161
Position Surface form Disambiguated ID Type / Status
Subject In the Bedroom E204876 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: [In the Bedroom, producer, Ted Hope]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ted Hope
Context triple: [In the Bedroom, 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. Robert Hopes
    Robert Hopes is a screenwriter best known for his work on the crime drama film "Pride and Glory."
  • C. Phil Hope
    Phil Hope is a British Labour politician who served as a Member of Parliament and held various junior ministerial roles in government during the late 1990s and 2000s.
  • D. Harry Hope
    Harry Hope is the disillusioned, aging saloon owner whose bar serves as the central setting and symbolic refuge for the defeated characters in Eugene O’Neill’s play "The Iceman Cometh."
  • E. 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."
  • 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_69ca834d77188190ad645e33e8ca3200 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdce461d6481908cc8f968856e0337 completed April 2, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d282478578819085ca00fe140bb6c1 completed April 5, 2026, 3:39 p.m.
Created at: March 30, 2026, 8:54 p.m.