Triple

T5585166
Position Surface form Disambiguated ID Type / Status
Subject Out of the Past E146737 entity
Predicate cinematographer P1953 FINISHED
Object Nicholas Musuraca E407598 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: Nicholas Musuraca | Statement: [Out of the Past, cinematographer, Nicholas Musuraca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicholas Musuraca
Context triple: [Out of the Past, cinematographer, Nicholas Musuraca]
  • A. Nicholas Musuraca chosen
    Nicholas Musuraca was an influential Italian-American cinematographer best known for his atmospheric, shadow-rich visual style that helped define classic film noir.
  • B. Paul De Meo
    Paul De Meo was an American screenwriter and producer best known for co-writing action and war-themed films and television projects, often in collaboration with J. Michael Straczynski and others.
  • C. Yusuf Giansiracusa
    Yusuf Giansiracusa is a football executive who has served as the chairman of English club Sheffield United.
  • D. Paul Merolla
    Paul Merolla is a neuroscientist and engineer best known as a co-founder of Neuralink, the neurotechnology company developing brain–computer interfaces.
  • E. John Femia
    John Femia is an actor known for playing the character Marshall Blechtman.
  • 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_69c0090287a08190b4098411effe970c completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c02085d0e48190b8d185fe7f3d8579 completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07d8c6f8881909ac2018d11f5aef8 completed March 22, 2026, 11:38 p.m.
Created at: March 22, 2026, 3:38 p.m.