Triple

T9098310
Position Surface form Disambiguated ID Type / Status
Subject Pierre Fresnay E218084 entity
Predicate workedWith P398 FINISHED
Object Marcel Pagnol E152303 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: Marcel Pagnol | Statement: [Pierre Fresnay, workedWith, Marcel Pagnol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marcel Pagnol
Context triple: [Pierre Fresnay, workedWith, Marcel Pagnol]
  • A. Marcel Pagnol chosen
    Marcel Pagnol was a renowned 20th-century French novelist, playwright, and filmmaker celebrated for his works set in Provence and his significant contributions to French literature and cinema.
  • B. Estelle Pagnol
    Estelle Pagnol is the daughter of renowned French novelist, playwright, and filmmaker Marcel Pagnol.
  • C. Alain Sarde
    Alain Sarde is a French film producer known for his work on acclaimed European and international films, including collaborations with directors such as Roman Polanski and David Lynch.
  • D. Claude Berri
    Claude Berri was a prominent French film director, producer, and screenwriter known for works such as "Jean de Florette" and "Manon des Sources."
  • E. Sacha Guitry
    Sacha Guitry was a prominent French playwright, actor, and filmmaker known for his witty, sophisticated comedies and prolific output in early 20th-century theatre and 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_69ca83d9844081908e561e367fda6d45 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc970f340881909f5551219f151acf completed April 1, 2026, 3:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69d03014ea488190abc71a0ee182bcad completed April 3, 2026, 9:24 p.m.
Created at: March 30, 2026, 7:15 p.m.