Triple
T21657327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walter De Maria |
E534500
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Walter De Maria |
—
|
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: Walter De Maria | Statement: [Walter De Maria, name, Walter De Maria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walter De Maria Context triple: [Walter De Maria, name, Walter De Maria]
-
A.
Walter De Maria
chosen
Walter De Maria was an American sculptor and composer best known for his large-scale, minimalist land art installations such as "The Lightning Field."
-
B.
James Turrell
James Turrell is an American artist renowned for his immersive light and space installations that explore perception, color, and the experience of seeing.
-
C.
Donald Judd
Donald Judd was an influential American artist and leading figure of Minimalism, known for his precise, industrially fabricated geometric sculptures and installations.
-
D.
Dennis Oppenheim
Dennis Oppenheim was an American conceptual artist known for his pioneering work in land art, performance, and large-scale public installations.
-
E.
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.
- 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_69e0c467e1f48190af2650b19175abc4 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef5919c9c88190a2ddcf2cefee79a5 |
completed | April 27, 2026, 12:39 p.m. |
Created at: April 16, 2026, 6:36 p.m.