Triple

T6438008
Position Surface form Disambiguated ID Type / Status
Subject The Private Lives of Pippa Lee E129946 entity
Predicate castMember P1668 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: [The Private Lives of Pippa Lee, castMember, Monica Bellucci]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monica Bellucci
Context triple: [The Private Lives of Pippa Lee, castMember, 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. Valeria Golino
    Valeria Golino is an Italian actress and director known for her work in both European art-house cinema and Hollywood films such as "Rain Man" and "Hot Shots!".
  • 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_69c0084caac48190a7bc2ad8ba44536f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c06964186c8190aeeb0038f4696032 completed March 22, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640f56ee881909f7b7f0909e1d701 completed March 27, 2026, 8:33 a.m.
Created at: March 22, 2026, 4:45 p.m.