Triple

T16308083
Position Surface form Disambiguated ID Type / Status
Subject Musée de Grenoble E395972 entity
Predicate hasWorkBy P12366 FINISHED
Object Daniel Buren E414146 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: Daniel Buren | Statement: [Musée de Grenoble, hasWorkBy, Daniel Buren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Buren
Context triple: [Musée de Grenoble, hasWorkBy, Daniel Buren]
  • A. Daniel Buren chosen
    Daniel Buren is a French conceptual artist renowned for his site-specific installations featuring distinctive striped patterns that interrogate the relationship between art, architecture, and public space.
  • B. Pierre Restany
    Pierre Restany was a French art critic and theorist best known for championing postwar avant-garde movements and co-founding the Nouveau Réalisme group.
  • C. Dan Flavin
    Dan Flavin was an American minimalist artist best known for his pioneering installations of fluorescent light fixtures that transform architectural space with color and illumination.
  • D. Yaacov Agam
    Yaacov Agam is an Israeli sculptor and experimental artist renowned as a pioneer of kinetic and optical art.
  • E. Franco Stella
    Franco Stella is an Italian architect known for his work on major reconstruction and restoration projects, including the modern rebuilding of Berlin's historic city palace.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e288d776808190a7c9918477f07216 completed April 17, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a001fa517908190a29caa0156b1d1cd completed May 10, 2026, 6:03 a.m.
Created at: April 10, 2026, 5:06 a.m.