Triple

T22091093
Position Surface form Disambiguated ID Type / Status
Subject Sergio Sollima E545912 entity
Predicate collaboratedWith P435 FINISHED
Object Gian Maria Volonté 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: Gian Maria Volonté | Statement: [Sergio Sollima, collaboratedWith, Gian Maria Volonté]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gian Maria Volonté
Context triple: [Sergio Sollima, collaboratedWith, Gian Maria Volonté]
  • A. Gian Maria Volonté chosen
    Gian Maria Volonté was an acclaimed Italian actor best known for his intense, politically charged performances and memorable villain roles in classic Spaghetti Westerns.
  • B. Valerio Mastandrea
    Valerio Mastandrea is an Italian actor known for his versatile performances in both dramatic and comedic films and television.
  • C. 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.
  • D. Eugenio Mastrandrea
    Eugenio Mastrandrea is an Italian actor best known internationally for his leading role in the Netflix romantic drama series "From Scratch."
  • E. Gian Luca Gregori
    Gian Luca Gregori is an Italian academic who serves as the rector of Marche Polytechnic University.
  • 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e5edf08190a6743955bc872417 completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:29 p.m.