Triple

T9861874
Position Surface form Disambiguated ID Type / Status
Subject Marguerite Matisse E239733 entity
Predicate mother P120 FINISHED
Object Caroline Joblau E239733 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: Caroline Joblau | Statement: [Marguerite Matisse, mother, Caroline Joblau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caroline Joblau
Context triple: [Marguerite Matisse, mother, Caroline Joblau]
  • A. Caroline Joblau chosen
    Caroline Joblau was the wife of French painter Henri Matisse and the mother of their daughter Marguerite Matisse.
  • B. Maria Azevêdo
    Maria Azevêdo is known as the wife of Brazilian diplomat Roberto Azevêdo, former Director-General of the World Trade Organization.
  • C. Maria de Lourdes Pintasilgo
    Maria de Lourdes Pintasilgo was a Portuguese chemical engineer, diplomat, and politician who became Portugal’s first and only female prime minister, serving in 1979–1980 during the country’s post-revolution democratic consolidation.
  • D. Luciana Barroso
    Luciana Barroso is an Argentine former bartender and flight attendant best known as the wife of American actor Matt Damon.
  • E. Sofía Correa
    Sofía Correa is a daughter of former Ecuadorian president Rafael Correa.
  • 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_69ca84e6493081909cf58c8d42ea856b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb3b6aa108190978f1c0cdc0f45a0 completed April 2, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1ead91ee88190bd4cb28ab16bf703 completed April 5, 2026, 4:53 a.m.
Created at: March 30, 2026, 8:35 p.m.