Triple

T13519719
Position Surface form Disambiguated ID Type / Status
Subject Romeo and Juliet (1968 film) E322860 entity
Predicate editedBy P1954 FINISHED
Object Reginald Mills E984349 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: Reginald Mills | Statement: [Romeo and Juliet (1968 film), editedBy, Reginald Mills]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Reginald Mills
Context triple: [Romeo and Juliet (1968 film), editedBy, Reginald Mills]
  • A. Reginald Mills chosen
    Reginald Mills was a British film editor known for his work on classic films such as "A Matter of Life and Death" and collaborations with prominent directors like Michael Powell and Emeric Pressburger.
  • B. Eric Forrester
    Eric Forrester is a central fictional patriarch and fashion designer on the American soap opera "The Bold and the Beautiful."
  • C. Dixon Steele
    Dixon Steele is a troubled, hard-boiled Hollywood screenwriter whose volatile temperament and moral ambiguity drive the dark psychological drama of "In a Lonely Place."
  • D. David Devereaux
    David Devereaux is a minor fictional character from the television sitcom "The Golden Girls," known primarily as the son of Blanche Devereaux.
  • E. Sam Harper
    Sam Harper is a screenwriter best known for writing family-friendly comedy films such as "Cheaper by the Dozen" and "Freaky Friday."
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafa3df0c8190804174695587f0ea completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75498153c819096a28a7f0b608ff5 completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:44 p.m.