Triple

T20382772
Position Surface form Disambiguated ID Type / Status
Subject Detective Thorn E497879 entity
Predicate filmDirectorOfWork P13455 FINISHED
Object Richard Fleischer NE NERFINISHED

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: Richard Fleischer | Statement: [Detective Thorn, filmDirectorOfWork, Richard Fleischer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Fleischer
Context triple: [Detective Thorn, filmDirectorOfWork, Richard Fleischer]
  • A. Richard Fleischer chosen
    Richard Fleischer was an American film director known for a diverse body of work that included noir, science fiction, historical epics, and big-budget Hollywood adventures.
  • B. Arthur Hiller
    Arthur Hiller was a Canadian-born film director best known for popular Hollywood movies such as "Love Story" and "The In-Laws."
  • C. Gerald Ayres
    Gerald Ayres was an American film producer and screenwriter known for his work on influential 1970s films, including collaborations with director Hal Ashby.
  • D. Michael Curtiz
    Michael Curtiz was a Hungarian-American film director best known for helming classic Hollywood films such as "Casablanca."
  • E. Delbert Mann
    Delbert Mann was an American film and television director best known for his Academy Award–winning work on the 1955 film "Marty" and for helping bring intimate, character-driven dramas from live television to the big screen.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a5b7908190a972e4e7e698ae94 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678b208ec8190a09bf5fd947a2a02 completed April 20, 2026, 7:04 p.m.
Created at: April 16, 2026, 11:27 a.m.