Triple

T12530593
Position Surface form Disambiguated ID Type / Status
Subject L'Appartement E299552 entity
Predicate hasCastMember P2308 FINISHED
Object Monica Bellucci E250907 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: Monica Bellucci | Statement: [L'Appartement, hasCastMember, Monica Bellucci]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monica Bellucci
Context triple: [L'Appartement, hasCastMember, Monica Bellucci]
  • A. Monica Bellucci chosen
    Monica Bellucci is an Italian actress and model known for her work in European cinema and major Hollywood films, including roles in The Matrix series, Malèna, and various James Bond and arthouse productions.
  • B. Nicoletta Peyran
    Nicoletta Peyran is a French former assistant director and academic best known as the longtime partner of American actor John Malkovich.
  • C. Greta Favino
    Greta Favino is the daughter of acclaimed Italian actor Pierfrancesco Favino.
  • D. Paola Mori
    Paola Mori was an Italian-born actress and countess best known as the third wife of filmmaker Orson Welles and for her roles in several of his later projects.
  • E. Laetitia Casta
    Laetitia Casta is a French supermodel and actress known for her work with major fashion houses and her roles in European cinema.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95469d100819087c83bc55e3ec9ce completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f655762ae88190ab41e23bbd65c566 completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 9:57 p.m.