Triple

T13729968
Position Surface form Disambiguated ID Type / Status
Subject The Nun (1966 film) E329770 entity
Predicate castMember P1668 FINISHED
Object Micheline Presle E461517 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: Micheline Presle | Statement: [The Nun (1966 film), castMember, Micheline Presle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Micheline Presle
Context triple: [The Nun (1966 film), castMember, Micheline Presle]
  • A. Micheline Presle chosen
    Micheline Presle is a renowned French actress known for her prolific film and television career spanning from the 1940s onward.
  • B. Nathalie Delon
    Nathalie Delon was a French actress and writer, best known for her role in the film "Le Samouraï" and her marriage to actor Alain Delon.
  • C. Carole Bouquet
    Carole Bouquet is a French actress known for her roles in European art cinema and as a Bond girl in the James Bond film "For Your Eyes Only."
  • D. Delphine Seyrig
    Delphine Seyrig was a renowned French actress known for her roles in influential European art films of the 1960s and 1970s, including collaborations with directors like Alain Resnais and Chantal Akerman.
  • E. Marie Trintignant
    Marie Trintignant was a French actress known for her intense, emotionally charged performances in film, television, and theater before her life was tragically cut short.
  • 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_69d80772315881908f980cae40d91664 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69de01f746cc8190abde237bbb7e6c78 completed April 14, 2026, 8:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69fbac7c8bbc81908c7aa15c6892be34 completed May 6, 2026, 9:02 p.m.
Created at: April 9, 2026, 9:55 p.m.