Triple

T20206981
Position Surface form Disambiguated ID Type / Status
Subject Michel Tapié E493377 entity
Predicate name P16 FINISHED
Object Michel Tapié NE NERFINISHED

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: Michel Tapié | Statement: [Michel Tapié, name, Michel Tapié]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michel Tapié
Context triple: [Michel Tapié, name, Michel Tapié]
  • A. Michel Tapié chosen
    Michel Tapié was a French art critic and curator known for championing Art Informel and promoting avant-garde abstract artists in the mid-20th century.
  • B. Michel Leiris
    Michel Leiris was a French writer, ethnographer, and autobiographical essayist associated with Surrealism and known for blending anthropology with deeply introspective literature.
  • C. Maurice Blanchot
    Maurice Blanchot was a French writer, philosopher, and literary theorist known for his influential reflections on literature, language, and the experience of absence and death.
  • D. Philippe Sollers
    Philippe Sollers was a French novelist, critic, and editor known for his experimental writing, role in the avant-garde journal Tel Quel, and influential presence in postwar French literary theory.
  • E. Michel Crémadès
    Michel Crémadès is a French actor known for his character roles in film and television, including appearances in Jean-Pierre Jeunet’s whimsical comedies.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d934f808190bbfeb96f5bf2dfb9 completed April 20, 2026, 6:16 p.m.
Created at: April 11, 2026, 11:38 p.m.