Triple

T17595424
Position Surface form Disambiguated ID Type / Status
Subject La sconosciuta E428556 entity
Predicate stars P1956 FINISHED
Object Pierfrancesco Favino 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: Pierfrancesco Favino | Statement: [La sconosciuta, stars, Pierfrancesco Favino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pierfrancesco Favino
Context triple: [La sconosciuta, stars, Pierfrancesco Favino]
  • A. Pierfrancesco Favino chosen
    Pierfrancesco Favino is an acclaimed Italian actor known for his versatile performances in both Italian cinema and international films.
  • B. Fabrizio Lucci
    Fabrizio Lucci is an Italian cinematographer known for his work on contemporary Italian films and television, including collaborations with prominent directors.
  • C. Fabrizio Gifuni
    Fabrizio Gifuni is an Italian actor known for his intense, character-driven performances in film, television, and theater.
  • D. Valerio Mastandrea
    Valerio Mastandrea is an Italian actor known for his versatile performances in both dramatic and comedic films and television.
  • E. Giancarlo Giannini
    Giancarlo Giannini is an acclaimed Italian actor and voice actor known for his intense performances in European cinema and international films, as well as for dubbing prominent Hollywood actors into Italian.
  • 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.