Triple
T8161511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musée Marmottan Monet |
E190585
|
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 Marmottan Monet, hasWorkBy, Daniel Buren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daniel Buren Context triple: [Musée Marmottan Monet, 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_69ca82c0ef14819083713f4473dd847c |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb455559188190bf95d9d93bb76002 |
completed | March 31, 2026, 3:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccbf2c22f0819085c686c005f49486 |
completed | April 1, 2026, 6:46 a.m. |
Created at: March 30, 2026, 5:38 p.m.