Triple

T16380358
Position Surface form Disambiguated ID Type / Status
Subject Micheline Roquebrune E397789 entity
Predicate name P16 FINISHED
Object Micheline Roquebrune E397789 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: Micheline Roquebrune | Statement: [Micheline Roquebrune, name, Micheline Roquebrune]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Micheline Roquebrune
Context triple: [Micheline Roquebrune, name, Micheline Roquebrune]
  • A. Micheline Roquebrune chosen
    Micheline Roquebrune is a French-Moroccan painter and golf enthusiast best known as the longtime wife of Scottish actor Sean Connery.
  • B. Germaine Aussey
    Germaine Aussey was a French film actress active in the 1930s and 1940s, known for her roles in comedies and popular European cinema of the era.
  • C. Andrée Vaurabourg
    Andrée Vaurabourg was a French pianist and music teacher known for her close association with early 20th-century French classical music circles.
  • D. Michèle Girardon
    Michèle Girardon was a French actress known for her roles in European cinema of the 1950s and 1960s.
  • E. Odile Mallet
    Odile Mallet is an actress known for her role in the visually distinctive French science-fiction film "The City of Lost Children."
  • 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_69d87f2880b48190ae1a9673a3bbef80 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e319db5b648190a8fca23518a1fb39 completed April 18, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00580fec0c8190b7fb73dbc637fb61 completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:08 a.m.