Triple
T22152837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oleg Cassini |
E547455
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | American fashion designer |
C23023
|
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: American fashion designer Context triple: [Oleg Cassini, instanceOf, American fashion designer]
-
A.
American designer
chosen
An American designer is a creative professional from the United States who conceives and develops visual, functional, or experiential solutions across fields such as fashion, graphic design, product design, or interior design.
-
B.
Italian fashion designer
An Italian fashion designer is a creative professional from Italy who conceives, develops, and oversees the production of clothing and accessories that reflect Italian aesthetics, craftsmanship, and style traditions.
-
C.
German fashion designer
A German fashion designer is a creative professional from Germany who conceives, develops, and produces clothing and accessory collections that reflect both contemporary style and German cultural or design influences.
-
D.
British designer
A British designer is a creative professional from the United Kingdom who conceives and develops aesthetic and functional solutions in fields such as fashion, graphic design, product design, or interiors, often reflecting British cultural and stylistic influences.
-
E.
Indian designer
An Indian designer is a creative professional from India who conceptualizes and develops aesthetic and functional solutions across fields such as fashion, graphic design, product design, or interiors, often drawing on the country’s diverse cultural and artistic traditions.
- F. None of above.
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_69e11e3b52088190ad5df386d01eb2fb |
completed | April 16, 2026, 5:36 p.m. |
Created at: April 16, 2026, 8:33 p.m.