Triple

T1952037
Position Surface form Disambiguated ID Type / Status
Subject Gods of Egypt E42179 entity
Predicate cinematographer P1953 FINISHED
Object Peter Menzies Jr. E205634 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: Peter Menzies Jr. | Statement: [Gods of Egypt, cinematographer, Peter Menzies Jr.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Menzies Jr.
Context triple: [Gods of Egypt, cinematographer, Peter Menzies Jr.]
  • A. Peter Menzies Jr. chosen
    Peter Menzies Jr. is an Australian cinematographer known for his work on major action and war films in Hollywood.
  • B. 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.
  • C. Kevin Kiner
    Kevin Kiner is an American composer best known for his prolific work on film and television scores, including major franchises like Star Wars and DC Comics adaptations.
  • D. Hugh Hudson
    Hugh Hudson was a British film director best known for his Academy Award–winning 1981 sports drama "Chariots of Fire."
  • E. Sam Wood
    Sam Wood was an American film director best known for his work during Hollywood’s Golden Age, including classics such as "A Night at the Opera," "Goodbye, Mr. Chips," and "The Pride of the Yankees."
  • 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_69a8870e08fc8190a319cbf2600db15f completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb34eb5748190a3ac395252951eba completed March 7, 2026, 5:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69adfbc3cf6881909d42a04be18c3c73 completed March 8, 2026, 10:44 p.m.
Created at: March 4, 2026, 7:36 p.m.