Triple

T17948015
Position Surface form Disambiguated ID Type / Status
Subject For Your Eyes Only E448755 entity
Predicate screenwriter P2831 FINISHED
Object Richard Maibaum 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 Maibaum | Statement: [For Your Eyes Only, screenwriter, Richard Maibaum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Maibaum
Context triple: [For Your Eyes Only, screenwriter, Richard Maibaum]
  • A. Richard Maibaum chosen
    Richard Maibaum was an American screenwriter and producer best known for his long-running work on the James Bond film series.
  • B. Michael C. Gross
    Michael C. Gross was an American film producer and art director best known for his work on the Ghostbusters franchise and other popular comedies of the 1980s and early 1990s.
  • C. Lloyd Levin
    Lloyd Levin is an American film producer known for his work on major genre films such as "Hellboy II: The Golden Army," "Watchmen," and "United 93."
  • D. David Kershner
    David Kershner is the son of American film director Irvin Kershner, known for his work in the movie industry.
  • E. Russell Carpenter
    Russell Carpenter is an Academy Award–winning American cinematographer best known for his work on major films such as Titanic and other high-profile Hollywood productions.
  • 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_69d8b9f8cca8819099836916c56b7c95 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4afa9cb2481908c95f8c430dcc0aa completed April 19, 2026, 10:34 a.m.
Created at: April 10, 2026, 10:21 a.m.