Triple

T2517550
Position Surface form Disambiguated ID Type / Status
Subject The Quick and the Dead E55446 entity
Predicate cinematography P1953 FINISHED
Object Dante Spinotti E60552 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: Dante Spinotti | Statement: [The Quick and the Dead, cinematography, Dante Spinotti]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dante Spinotti
Context triple: [The Quick and the Dead, cinematography, Dante Spinotti]
  • A. Dante Spinotti chosen
    Dante Spinotti is an acclaimed Italian cinematographer known for his visually distinctive work on films such as Heat, L.A. Confidential, and The Insider.
  • B. Dante Ricci
    Dante Ricci is a sibling of American actress Christina Ricci, known primarily for his family connection to the Hollywood star.
  • C. Bruno Forte
    Bruno Forte is an Italian Roman Catholic theologian and archbishop known for his influential role in contemporary Church theology and participation in major synodal assemblies.
  • D. Leo Rossi
    Leo Rossi is an American character actor known for his supporting roles in crime dramas and thrillers in film and television.
  • E. Michael Luciano
    Michael Luciano is a film editor best known for his long collaboration with director Robert Aldrich, including work on the noir classic "Kiss Me Deadly."
  • 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_69ab49e4749c8190813311efd1630f1b completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abd2111d28819099884a2bec5e0366 completed March 7, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5cec74ac819093529ce5843ca320 completed March 9, 2026, 11:51 p.m.
Created at: March 6, 2026, 9:46 p.m.