Triple

T9459609
Position Surface form Disambiguated ID Type / Status
Subject Marie-José Nat E228107 entity
Predicate givenName P17 FINISHED
Object Marie-José E228107 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: Marie-José | Statement: [Marie-José Nat, givenName, Marie-José]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marie-José
Context triple: [Marie-José Nat, givenName, Marie-José]
  • A. Marie-José Nat chosen
    Marie-José Nat was a French film and television actress known for her nuanced performances in mid-20th-century European cinema.
  • B. Marie-José Tramini
    Marie-José Tramini was a French-born artist and the second wife of Mexican Nobel laureate poet Octavio Paz, known for her work in collage and visual arts.
  • C. Marie-José Clivaz
    Marie-José Clivaz is an educator and school leader best known for co-founding the international private school Collège du Léman in Switzerland.
  • D. Maryse Alberti
    Maryse Alberti is an acclaimed French cinematographer known for her work on independent and documentary films, including projects like "The Wrestler" and "Creed."
  • E. Claudie Ossard
    Claudie Ossard is a French film producer known for backing visually distinctive and critically acclaimed films such as "The City of Lost Children" and "Amélie."
  • 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_69ca843b123881909b0e60028475d12d completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fc916348190aeb3874a89071677 completed April 1, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12ce01b548190a30f6cc7f3084b06 completed April 4, 2026, 3:23 p.m.
Created at: March 30, 2026, 7:52 p.m.