Triple

T23430045
Position Surface form Disambiguated ID Type / Status
Subject Romy Schneider E563300 entity
Predicate notableWork P4 FINISHED
Object César and Rosalie 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: César and Rosalie | Statement: [Romy Schneider, notableWork, César and Rosalie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: César and Rosalie
Context triple: [Romy Schneider, notableWork, César and Rosalie]
  • A. César and Rosalie chosen
    César and Rosalie is a 1972 French romantic drama film directed by Claude Sautet that explores a complex love triangle and is regarded as a classic of intimate, character-driven French cinema.
  • B. La Rosalie
    La Rosalie is a 19th-century French melody that later served as the musical basis for Malaysia’s national anthem, "Negaraku."
  • C. Julien
    Julien is a given name of French origin commonly used for males in various Francophone and European countries.
  • D. Marius et Jeannette
    Marius et Jeannette is a 1997 French romantic comedy-drama film set in Marseille, known for its warm portrayal of working-class life and directed by Robert Guédiguian.
  • E. Julias
    Julias was a city in the ancient region of Gaulonitis, near the Sea of Galilee, known from the Roman and New Testament historical context.
  • 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_69e24553980c8190bb66a2ae0bdab125 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a5d6d1c881908e3c4ac0e7cd30cd completed April 29, 2026, 6:31 a.m.
Created at: April 17, 2026, 5:48 p.m.