Triple

T19024551
Position Surface form Disambiguated ID Type / Status
Subject Brief Encounter E465573 entity
Predicate cinematographyBy P1953 FINISHED
Object Robert Krasker 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: Robert Krasker | Statement: [Brief Encounter, cinematographyBy, Robert Krasker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Krasker
Context triple: [Brief Encounter, cinematographyBy, Robert Krasker]
  • A. Robert Krasker chosen
    Robert Krasker was an Australian-born cinematographer best known for his atmospheric black-and-white work on classic films such as "The Third Man."
  • B. Harry Kurnitz
    Harry Kurnitz was an American playwright, novelist, and screenwriter known for his witty crime and mystery scripts in mid-20th-century Hollywood.
  • C. Milton R. Krasner
    Milton R. Krasner was an American cinematographer renowned for his work on numerous classic Hollywood films, including the acclaimed drama "All About Eve."
  • D. Leo Kahn
    Leo Kahn was an American entrepreneur and retail pioneer best known as a co-founder of the office-supplies giant Staples.
  • E. Jack Goldstein
    Jack Goldstein was a Canadian-born American conceptual artist and key figure of the Pictures Generation, known for his cinematic, media-influenced paintings, films, and sound works that explored image culture and spectacle.
  • 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_69d8dd025c188190a1d81f5b4ec7e2c6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6e166088190937ef19739437f7c completed April 20, 2026, 7:33 a.m.
Created at: April 10, 2026, 12:02 p.m.