Triple

T6521371
Position Surface form Disambiguated ID Type / Status
Subject Land of the Pharaohs E151189 entity
Predicate cinematographer P1953 FINISHED
Object Lee Garmes E143785 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: Lee Garmes | Statement: [Land of the Pharaohs, cinematographer, Lee Garmes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lee Garmes
Context triple: [Land of the Pharaohs, cinematographer, Lee Garmes]
  • A. Lee Garmes chosen
    Lee Garmes was an American cinematographer renowned for his innovative lighting and camera techniques in early Hollywood cinema, including his Academy Award-winning work on "Shanghai Express."
  • B. Frank Doelger
    Frank Doelger is a television producer best known for his work on the acclaimed HBO fantasy series "Game of Thrones."
  • C. John Eisendrath
    John Eisendrath is a television writer and producer best known for his work on series such as "The Blacklist" and "Alias."
  • D. Charlie Korsmo
    Charlie Korsmo is an American former child actor and current law professor best known for his roles in early 1990s films such as "Dick Tracy," "Hook," and "What About Bob?".
  • E. Kevin Hageman
    Kevin Hageman is an American screenwriter and producer known for his work on animated and family films and television series, including contributions to The Lego Movie franchise.
  • 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_69c687f522748190b3058405553cdabd completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ad9431f081909b14b3df3414a55f completed March 27, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c72f6db074819089795c29cb4f6699 completed March 28, 2026, 1:31 a.m.
Created at: March 27, 2026, 1:45 p.m.