Triple
T18016116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CelebA |
E431002
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | face attributes dataset |
C40301
|
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: face attributes dataset Context triple: [CelebA, instanceOf, face attributes dataset]
-
A.
avatar
An avatar is a digital representation or embodiment of a user or character within a virtual or online environment.
-
B.
mascara
Mascara is a cosmetic product applied to the eyelashes to darken, lengthen, thicken, and define them.
-
C.
camera feature
A camera feature is a distinct capability or setting of a camera system that enhances how images or videos are captured, processed, or presented.
-
D.
avatar creation service
A service that enables users to design, customize, and manage digital avatars for use across various applications and platforms.
-
E.
portrait
A portrait is a visual representation of a person, typically focusing on the face and expression, intended to convey their likeness, personality, and mood.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
Created at: April 10, 2026, 10:24 a.m.