Triple

T9034183
Position Surface form Disambiguated ID Type / Status
Subject Camille Pissarro E216448 entity
Predicate spouse P13 FINISHED
Object Julie Vellay E216448 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: Julie Vellay | Statement: [Camille Pissarro, spouse, Julie Vellay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Julie Vellay
Context triple: [Camille Pissarro, spouse, Julie Vellay]
  • A. Julie Vellay chosen
    Julie Vellay was the wife and lifelong companion of French Impressionist painter Camille Pissarro, with whom she had a large family and shared years of financial and personal hardship.
  • B. Julie Le Brun
    Julie Le Brun was the daughter and frequent portrait subject of the renowned French painter Élisabeth Vigée Le Brun, often depicted in her mother's celebrated works.
  • C. Julie Legrand
    Julie Legrand is a British actress known for her extensive work in television, theatre, and film, including roles in popular UK dramas and West End productions.
  • D. Julie Bruneau
    Julie Bruneau was a 19th-century Canadian woman best known as the wife and close confidante of Louis-Joseph Papineau, the prominent Lower Canadian political leader and reformer.
  • E. Julie LeBreton
    Julie LeBreton is a Canadian actress known for her work in film and television, particularly in French-language productions.
  • 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_69ca83d10b608190b2b2f8e0a7faaf14 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6aa248bc8190a55cfc2a5306ab20 completed April 1, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffdb085c88190b3cf1bec5b1a7143 completed April 3, 2026, 5:49 p.m.
Created at: March 30, 2026, 7:08 p.m.