Triple

T12106551
Position Surface form Disambiguated ID Type / Status
Subject Harry Hope’s saloon E288316 entity
Predicate operatedBy P86 FINISHED
Object Harry Hope E288319 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: Harry Hope | Statement: [Harry Hope’s saloon, operatedBy, Harry Hope]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harry Hope
Context triple: [Harry Hope’s saloon, operatedBy, Harry Hope]
  • A. Harry Hope chosen
    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."
  • 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. William Hope
    William Hope is an actor best known for his role as Lieutenant Gorman in the science fiction film "Aliens."
  • E. Ted Hope
    Ted Hope is an American independent film producer known for championing innovative, auteur-driven cinema and co-founding the production company Good Machine.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91561eaec819096ba00682d81f41a completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a7330c481909e06468be517cf5f completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:49 p.m.