Triple

T16800635
Position Surface form Disambiguated ID Type / Status
Subject Guy Debord E408342 entity
Predicate spouse P13 FINISHED
Object Michèle Bernstein E1005299 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: Michèle Bernstein | Statement: [Guy Debord, spouse, Michèle Bernstein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michèle Bernstein
Context triple: [Guy Debord, spouse, Michèle Bernstein]
  • A. Michèle Bernstein chosen
    Michèle Bernstein is a French writer and critic associated with the avant-garde Situationist movement and known for her experimental novels and role in Parisian intellectual circles.
  • B. Françoise Schein
    Françoise Schein is a Belgian-born artist and architect known for large-scale public artworks, often in metro stations, that integrate human rights themes and typographic design.
  • C. Brigitte Aron
    Brigitte Aron is known primarily as the daughter of the influential French philosopher, sociologist, and political commentator Raymond Aron.
  • D. Michèle Méritz
    Michèle Méritz was a French actress known for her role in Claude Chabrol’s influential New Wave film "Le Beau Serge."
  • E. Michèle Delaunay
    Michèle Delaunay is a French politician and former government minister known for her work in public health and social policy.
  • 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_69d88393905081908d00a86b99996ac8 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b2c826808190aa0a5bfcde2e49a8 completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfc0dcd081909f715e0f2aad67c7 completed May 10, 2026, 6:34 p.m.
Created at: April 10, 2026, 5:22 a.m.