Triple

T13749961
Position Surface form Disambiguated ID Type / Status
Subject Roberto Benigni E330321 entity
Predicate name P16 FINISHED
Object Roberto Benigni E330321 NE FINISHED

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 Benigni | Statement: [Roberto Benigni, name, Roberto Benigni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roberto Benigni
Context triple: [Roberto Benigni, name, Roberto Benigni]
  • A. Roberto Benigni chosen
    Roberto Benigni is an Italian actor, comedian, screenwriter, and director best known internationally for his Oscar-winning film "Life Is Beautiful."
  • B. Nanni Moretti
    Nanni Moretti is an acclaimed Italian film director, screenwriter, producer, and actor known for his introspective, often politically charged auteur cinema, including films like "Dear Diary" and "The Son's Room."
  • C. Giorgio Clerici
    Giorgio Clerici was an 18th-century Milanese nobleman and politician best known as the original commissioner of the grand lakeside residence now called Villa Carlotta on Lake Como.
  • D. Gérard Depardieu
    Gérard Depardieu is a renowned French actor celebrated for his prolific film career and status as one of France’s most prominent cinematic figures.
  • E. Fabio Testi
    Fabio Testi is an Italian actor known for his roles in European genre cinema, including crime, thriller, and exploitation films of the 1970s and 1980s.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d81c573f288190aa2403d484fa3d49 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02148c208190a882927905a861a6 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a854098c8190983d142c9930962b completed May 3, 2026, 7:56 p.m.
Created at: April 9, 2026, 10:08 p.m.