Triple

T17594981
Position Surface form Disambiguated ID Type / Status
Subject Pierfrancesco Favino E428545 entity
Predicate familyName P18 FINISHED
Object 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: Favino | Statement: [Pierfrancesco Favino, familyName, Favino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Favino
Context triple: [Pierfrancesco Favino, familyName, Favino]
  • A. Favino chosen
    Favino is an Italian surname most notably borne by acclaimed actor Pierfrancesco Favino.
  • B. Mazzello
    Mazzello is the surname of American actor and director Joseph Mazzello, best known for his role as Tim Murphy in the film "Jurassic Park."
  • C. Louis Mandylor
    Louis Mandylor is an Australian actor and former professional boxer best known for his roles in films such as "My Big Fat Greek Wedding" and various action and genre movies.
  • D. Tommy Gumina
    Tommy Gumina was an American jazz accordionist, bandleader, and instrument innovator known for his work in modern jazz and collaborations with prominent guitarists.
  • E. D'Onofrio
    D'Onofrio is an Italian surname most prominently associated with American actor Vincent D'Onofrio, known for his versatile film and television roles.
  • 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.