Triple
T12207569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | StyleGAN |
E290872
|
entity |
| Predicate | trainingDataset |
P21227
|
FINISHED |
| Object | CelebA-HQ |
E431002
|
NE FINISHED |
Disambiguation candidates (1 decision)
The exact options the model was shown at each disambiguation step, with the option it chose highlighted — the evidence behind this triple's disambiguated ids.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CelebA-HQ Context triple: [StyleGAN, trainingDataset, CelebA-HQ]
-
A.
CelebA
chosen
CelebA is a large-scale face attributes dataset widely used in computer vision research for tasks like facial recognition, attribute prediction, and generative modeling.
-
B.
LFW
LFW is the IATA airport code for Lomé–Tokoin International Airport, the main airport serving Lomé, the capital of Togo.
-
C.
StyleGAN
StyleGAN is a state-of-the-art generative adversarial network architecture known for producing highly realistic, controllable images by manipulating disentangled style representations at different layers of the network.
-
D.
CycleGAN
CycleGAN is a type of generative adversarial network designed for unpaired image-to-image translation, enabling conversion between visual domains without requiring matched training examples.
-
E.
Progressive GAN
Progressive GAN is a generative adversarial network architecture that grows both the generator and discriminator layers progressively during training to produce high-resolution, high-quality synthetic images.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
| Stage | Batch ID | Job type | Status |
|---|---|---|---|
| creating | batch_69d6ab65923081909acfc61b7a612233 |
elicitation | completed |
| NER | batch_69d93ed7251c8190b94d7cd75ad49b9c |
ner | completed |
| NED1 | batch_69f60a9d2f0c81908352cd9f0167c6ab |
ned_source_triple | completed |
Created at: April 8, 2026, 9:51 p.m.