Triple

T6446080
Position Surface form Disambiguated ID Type / Status
Subject Clara Malraux E138346 entity
Predicate name P16 FINISHED
Object Clara Malraux E138346 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: Clara Malraux | Statement: [Clara Malraux, name, Clara Malraux]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clara Malraux
Context triple: [Clara Malraux, name, Clara Malraux]
  • A. Clara Malraux chosen
    Clara Malraux was a French writer, translator, and political activist known for her anti-fascist engagement and for her influential role in the intellectual milieu surrounding her husband, André Malraux.
  • B. Micheline Roquebrune
    Micheline Roquebrune is a French-Moroccan painter and golf enthusiast best known as the longtime wife of Scottish actor Sean Connery.
  • C. Odile Mallet
    Odile Mallet is an actress known for her role in the visually distinctive French science-fiction film "The City of Lost Children."
  • D. Jean Paulhan
    Jean Paulhan was a prominent 20th-century French writer, critic, and influential editor of the Nouvelle Revue Française, known for shaping modern French literature and thought.
  • E. Françoise Noguès
    Françoise Noguès is a French physician best known as the mother of Brigitte Macron, the First Lady of France.
  • 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_69c008aa61ac8190bc96715ed79fe2d8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0698edeac81909426902471d8a57b completed March 22, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bcd09e0819097eb60d13e8058dd completed March 27, 2026, 9:20 a.m.
Created at: March 22, 2026, 4:46 p.m.