Triple

T17595515
Position Surface form Disambiguated ID Type / Status
Subject The Catcher Was a Spy E428559 entity
Predicate screenwriter P2831 FINISHED
Object Robert Rodat 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 Rodat | Statement: [The Catcher Was a Spy, screenwriter, Robert Rodat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Robert Rodat
Context triple: [The Catcher Was a Spy, screenwriter, Robert Rodat]
  • A. Robert Rodat chosen
    Robert Rodat is an American screenwriter and producer best known for writing the film "Saving Private Ryan" and creating the science fiction television series "Falling Skies."
  • B. Michael Fleischer
    Michael Fleischer is a relatively obscure individual whose primary distinguishing feature is sharing the surname associated with the Fleischer family name.
  • C. Wolfgang Petersen
    Wolfgang Petersen was a German film director known for acclaimed works such as "Das Boot," "In the Line of Fire," and "Air Force One."
  • D. Bob Ridley
    Bob Ridley is an American soccer coach best known for managing the Dallas Tornado in the North American Soccer League.
  • E. Stuart Rosenberg
    Stuart Rosenberg was an American film and television director best known for character-driven dramas such as "Cool Hand Luke" and various notable works of the 1960s and 1970s.
  • 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e469ead59c8190a06519311891af3c completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 5:51 a.m.