Triple

T23061779
Position Surface form Disambiguated ID Type / Status
Subject Mademoiselle Chambon E574920 entity
Predicate starredActor P5563 FINISHED
Object Sandrine Kiberlain 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: Sandrine Kiberlain | Statement: [Mademoiselle Chambon, starredActor, Sandrine Kiberlain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sandrine Kiberlain
Context triple: [Mademoiselle Chambon, starredActor, Sandrine Kiberlain]
  • A. Sandrine Kiberlain chosen
    Sandrine Kiberlain is a French actress and singer known for her acclaimed performances in both dramatic and comedic films.
  • B. Sabine Bonnaire
    Sabine Bonnaire is a French woman known primarily as the sister of acclaimed actress and filmmaker Sandrine Bonnaire.
  • C. Nelly Auteuil
    Nelly Auteuil is the daughter of French actor and filmmaker Daniel Auteuil.
  • D. Joëlle Hache
    Joëlle Hache is an editor known for her work on the film "Music Box."
  • E. Sandrine Holt
    Sandrine Holt is a Canadian actress known for her roles in film and television, including appearances in genre franchises and high-profile dramas.
  • 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_69e245bd6e4c8190bb8942245b68cad5 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1899ff96081908d89a07a3b1065c8 completed April 29, 2026, 4:31 a.m.
Created at: April 17, 2026, 3:55 p.m.