Triple

T2345897
Position Surface form Disambiguated ID Type / Status
Subject Claude Monet E45129 entity
Predicate spouse P13 FINISHED
Object Camille Doncieux E45129 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: Camille Doncieux | Statement: [Claude Monet, spouse, Camille Doncieux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Camille Doncieux
Context triple: [Claude Monet, spouse, Camille Doncieux]
  • A. Camille Doncieux chosen
    Camille Doncieux was the first wife and frequent model of French Impressionist painter Claude Monet, known for appearing in many of his early masterpieces.
  • B. Catherine Lalumière
    Catherine Lalumière is a French politician and lawyer known for her prominent role in European institutions and advocacy for European integration and human rights.
  • C. Catherine Lemaire
    Catherine Lemaire was the wife of French Realist painter Jean-François Millet and the mother of his children, who supported him during his career in 19th-century France.
  • D. Colette Tatou
    Colette Tatou is a skilled and tough-minded French chef from Pixar's "Ratatouille" who mentors Linguini in the kitchen of Gusteau's restaurant.
  • E. Charlotte Pécoul
    Charlotte Pécoul was the wife of renowned French Neoclassical painter Jacques-Louis David and a member of a well-connected Parisian bourgeois family.
  • 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_69a88917935081909b755dbf38e81024 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc6c7cb9481909405aeb503f804ae completed March 7, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3c116088190b15fd12d5ac75594 completed March 9, 2026, 11:49 a.m.
Created at: March 4, 2026, 7:52 p.m.