Triple
T16605952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arman |
E403448
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | French-American artist |
C38099
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: French-American artist Context triple: [Arman, instanceOf, French-American artist]
-
A.
French painter
A French painter is an artist from France who creates visual artworks, typically using mediums such as oil, watercolor, or acrylic, often reflecting French cultural, historical, or aesthetic influences.
-
B.
Russian-American artist
A Russian-American artist is a creative professional of Russian heritage who lives in or is closely connected to the United States, producing visual or other artistic works that often blend cultural influences from both Russian and American traditions.
-
C.
Ukrainian-French artist
A Ukrainian-French artist is a creative professional of Ukrainian origin or heritage who lives in, is culturally connected to, or works significantly within France, producing art that often blends Ukrainian and French artistic traditions, histories, and perspectives.
-
D.
Hungarian-French artist
A Hungarian-French artist is a visual creator whose work and identity are shaped by the cultural, historical, and aesthetic influences of both Hungary and France.
-
E.
Swiss-born French painter
A Swiss-born French painter is an artist originally from Switzerland who became associated with or naturalized in France, producing visual artworks—typically in mediums such as oil, watercolor, or acrylic—that reflect or contribute to French artistic traditions.
- F. None of above. chosen
Provenance (1 batch)
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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
Created at: April 10, 2026, 5:17 a.m.