Triple

T14207897
Position Surface form Disambiguated ID Type / Status
Subject Nana (1934 film) E352147 entity
Predicate editingBy P1954 FINISHED
Object Marguerite Renoir E977749 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: Marguerite Renoir | Statement: [Nana (1934 film), editingBy, Marguerite Renoir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marguerite Renoir
Context triple: [Nana (1934 film), editingBy, Marguerite Renoir]
  • A. Marguerite Renoir chosen
    Marguerite Renoir was a prominent French film editor closely associated with director Jean Renoir, known for shaping the style of many classic French films of the 1930s and 1940s.
  • B. Marianne Renoir
    Marianne Renoir is a free-spirited, enigmatic young woman who draws Ferdinand “Pierrot” into a doomed, anarchic road adventure in Jean-Luc Godard’s film "Pierrot le Fou."
  • C. Claude Renoir
    Claude Renoir was a French cinematographer known for his work on mid-20th-century films and for being the grandson of painter Pierre-Auguste Renoir.
  • D. Pierre Renoir
    Pierre Renoir was a French stage and film actor, known for his work in early 20th-century cinema and theater.
  • E. Fernande Olivier
    Fernande Olivier was a French artist’s model and memoirist best known as Pablo Picasso’s early muse during his formative Paris years.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61f84f288190877116330bd54393 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd280c948c8190948e55f1e1874f69 completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:05 a.m.