Triple

T17595358
Position Surface form Disambiguated ID Type / Status
Subject Romanzo di una strage E428554 entity
Predicate cinematographyBy P1953 FINISHED
Object Roberto Forza NE NERFINISHED

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: Roberto Forza | Statement: [Romanzo di una strage, cinematographyBy, Roberto Forza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roberto Forza
Context triple: [Romanzo di una strage, cinematographyBy, Roberto Forza]
  • A. Roberto Forza chosen
    Roberto Forza is an Italian cinematographer best known for his work on acclaimed films such as "La meglio gioventù."
  • B. Furio Colombo
    Furio Colombo is an Italian journalist, writer, and politician best known for his influential role in national media and public discourse.
  • C. Sergio Fantoni
    Sergio Fantoni was an Italian actor known for his work in mid-20th-century cinema and television, including prominent roles in international war and drama films.
  • D. Enzo Rossi
    Enzo Rossi is the son of American actress Patricia Arquette and musician Paul Rossi.
  • E. Mario Revolori
    Mario Revolori is a member of the Revolori family, which includes actor Tony Revolori, and is associated with the entertainment industry.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e469ead59c8190a06519311891af3c completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 5:51 a.m.