Triple

T8103644
Position Surface form Disambiguated ID Type / Status
Subject Camille Monet E189172 entity
Predicate relative P37 FINISHED
Object Michel Monet E276239 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: Michel Monet | Statement: [Camille Monet, relative, Michel Monet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michel Monet
Context triple: [Camille Monet, relative, Michel Monet]
  • A. Michel Monet chosen
    Michel Monet was a French painter and the younger son of Impressionist master Claude Monet, known for preserving and promoting his father's artistic legacy.
  • B. Jean Monet
    Jean Monet was the son of French Impressionist painter Claude Monet and a frequent subject in his father's early paintings.
  • C. Claude Monet
    Claude Monet was a pioneering French Impressionist painter renowned for his luminous landscapes and series capturing changing light and atmosphere, such as his water lilies and haystacks.
  • D. Camille Monet
    Camille Monet was the first wife and frequent model of French Impressionist painter Claude Monet, appearing in many of his early works.
  • E. Hortense Cézanne
    Hortense Cézanne was the wife and frequent model of French Post-Impressionist painter Paul Cézanne, appearing in many of his notable portraits.
  • 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_69ca82b886d88190a9cba0d5a4a27521 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42bf1cb0819099dda4f050f8e95e completed March 31, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde709d3188190b3a954a613c3c5b2 completed April 2, 2026, 3:48 a.m.
Created at: March 30, 2026, 5:31 p.m.