Triple

T19479934
Position Surface form Disambiguated ID Type / Status
Subject Marcelle Maurette E487353 entity
Predicate name P16 FINISHED
Object Marcelle Maurette 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: Marcelle Maurette | Statement: [Marcelle Maurette, name, Marcelle Maurette]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marcelle Maurette
Context triple: [Marcelle Maurette, name, Marcelle Maurette]
  • A. Marcelle Maurette chosen
    Marcelle Maurette was a French playwright best known for her stage works about historical figures, particularly her play about the Grand Duchess Anastasia that inspired the 1956 film adaptation.
  • B. Léonore Baulac
    Léonore Baulac is a French ballet dancer and étoile (principal) of the Paris Opera Ballet, acclaimed for her artistry and leading roles in the classical and contemporary repertoire.
  • C. Marie Roche
    Marie Roche was the wife of Henry Fielding Dickens, a British barrister and son of the novelist Charles Dickens.
  • D. Marceline Hugot
    Marceline Hugot is an American character actress known for her supporting roles in film, television, and theater, often portraying quirky or offbeat characters.
  • E. Gisèle Préville
    Gisèle Préville was a French actress known for her roles in mid-20th-century French cinema.
  • 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_69d8e8d924388190b847cb15bb3d0aff completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6343882a88190b3cfa65e6cac80d3 completed April 20, 2026, 2:12 p.m.
Created at: April 10, 2026, 1:39 p.m.