Triple

T6134880
Position Surface form Disambiguated ID Type / Status
Subject The Blue Gardenia E136807 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: [The Blue Gardenia, cinematographer, Nicholas Musuraca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicholas Musuraca
Context triple: [The Blue Gardenia, 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_69c008a179388190a3b5a081bbf46d55 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c80a6088190a028967b682fed2b completed March 22, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6384fece08190ba78bf08d7ee5d4a completed March 27, 2026, 7:57 a.m.
Created at: March 22, 2026, 4:15 p.m.