Triple
T21831224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Turrell |
E538998
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Turrell |
—
|
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: Turrell | Statement: [James Turrell, familyName, Turrell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turrell Context triple: [James Turrell, familyName, Turrell]
-
A.
James Turrell
chosen
James Turrell is an American artist renowned for his immersive light and space installations that explore perception, color, and the experience of seeing.
-
B.
Oursler
Oursler is the surname of Tony Oursler, an American multimedia and installation artist known for his innovative video projections and sculptural works.
-
C.
Diebenkorn
Diebenkorn is a surname most prominently associated with American painter Richard Diebenkorn, a leading figure in 20th-century abstract and figurative art.
-
D.
Sunyer
Sunyer is a small municipality located in the Segrià comarca of the province of Lleida in Catalonia, Spain.
-
E.
Donahue
Donahue is a surname most notably associated with American actress Elinor Donahue, known for her roles in classic television series.
- 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_69e0c475cda88190987d08f23caebdc1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f091362d9081909f00ad7a2806d5cb |
completed | April 28, 2026, 10:51 a.m. |
Created at: April 16, 2026, 6:55 p.m.