Triple

T17595599
Position Surface form Disambiguated ID Type / Status
Subject The Traitor (2019 film) E428560 entity
Predicate starred P5563 FINISHED
Object Fausto Russo Alesi 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: Fausto Russo Alesi | Statement: [The Traitor (2019 film), starred, Fausto Russo Alesi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fausto Russo Alesi
Context triple: [The Traitor (2019 film), starred, Fausto Russo Alesi]
  • A. Fausto Russo Alesi chosen
    Fausto Russo Alesi is an Italian actor known for his work in contemporary Italian cinema and theater, including roles in acclaimed crime and drama films.
  • B. Roberto De Angelis
    Roberto De Angelis is a cinematographer known for his work on major feature films, including the action-comedy sequel "Bad Boys for Life."
  • C. Umberto Martini
    Umberto Martini is an Italian academic and tourism expert known for his work in marketing and destination management.
  • D. Andrea de Cesaris
    Andrea de Cesaris was an Italian Formula One driver known for his speed, longevity in the sport, and frequent crashes during the 1980s and early 1990s.
  • E. Luigi Martini
    Luigi Martini is an individual notable enough to be recognized as a namesake or prominent bearer of the surname Martini.
  • 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.