Triple
T12207539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | StyleGAN |
E290872
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object |
GAN
GAN (Generative Adversarial Network) is a machine learning framework in which two neural networks compete in a zero-sum game to generate realistic synthetic data such as images, audio, or text.
|
E971755
|
NE FINISHED |
Provenance (5 batches)
| Stage | Batch ID | Job type | Status |
|---|---|---|---|
| creating | batch_69d6ab65923081909acfc61b7a612233 |
elicitation | completed |
| NER | batch_69d91c7d8f5c8190a46e9caa2a920fa9 |
ner | completed |
| NED1 | batch_69f60a9d2f0c81908352cd9f0167c6ab |
ned_source_triple | completed |
| NED2 | batch_69f60fe8c2ec8190af7c69dd17ea75fe |
ned_description | completed |
| NEDg | batch_69f60f2154c8819081f9cf6f51e5255b |
nedg | completed |
Created at: April 8, 2026, 9:51 p.m.