Triple

T17595566
Position Surface form Disambiguated ID Type / Status
Subject The Traitor (2019 film) E428560 entity
Predicate producer P490 FINISHED
Object Simone Gattoni 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: Simone Gattoni | Statement: [The Traitor (2019 film), producer, Simone Gattoni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Simone Gattoni
Context triple: [The Traitor (2019 film), producer, Simone Gattoni]
  • A. Simone Gattoni chosen
    Simone Gattoni is an Italian film producer known for his work on acclaimed contemporary Italian cinema, including the crime drama "The Traitor."
  • B. Simone Villani
    Simone Villani is an individual notable enough to be recognized as a bearer of the surname Villani, though specific widely known public achievements or roles are not clearly documented.
  • C. Simone Cantoni
    Simone Cantoni was an 18th-century Swiss neoclassical architect renowned for his influential palace designs in northern Italy.
  • D. Simone Antonelli
    Simone Antonelli is an individual notable enough to be recognized as a prominent bearer of the Italian surname Antonelli.
  • E. Simone Simonini
    Simone Simonini is the fictional, morally corrupt forger and conspirator who serves as the central antihero of Umberto Eco’s novel "The Prague Cemetery."
  • 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.