Triple

T10493525
Position Surface form Disambiguated ID Type / Status
Subject The Gentle Sex E247475 entity
Predicate cinematographyBy P1953 FINISHED
Object Robert Krasker E190471 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: Robert Krasker | Statement: [The Gentle Sex, cinematographyBy, Robert Krasker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Krasker
Context triple: [The Gentle Sex, 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. Richard Friedenberg
    Richard Friedenberg is an American screenwriter and filmmaker best known for his acclaimed adaptations of literary works, including the film "A River Runs Through It."
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5097fe2bc81909d66ce43f3533284 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dcaeb6088190829b6c26eb1de7d5 completed April 10, 2026, 11:19 a.m.
Created at: April 6, 2026, 12:24 p.m.