Triple
T8737777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aaron van den Oord |
E207427
|
entity |
| Predicate | developed |
P73
|
FINISHED |
| Object |
VQ-VAE
VQ-VAE is a neural network model that combines vector quantization with variational autoencoders to learn discrete latent representations for tasks like image and audio generation.
|
E755720
|
NE FINISHED |
Provenance (5 batches)
| Stage | Batch ID | Job type | Status |
|---|---|---|---|
| creating | batch_69ca835a03a081909d4d4cd01a18c9fb |
elicitation | completed |
| NER | batch_69cc5d45c96081909aa8509064ff3a04 |
ner | completed |
| NED1 | batch_69cf42c9140081909f9c10560757c860 |
ned_source_triple | completed |
| NED2 | batch_69cf453fa3e4819082466c59649c2f35 |
ned_description | completed |
| NEDg | batch_69cf43ead588819094089bea94c27207 |
nedg | completed |
Created at: March 30, 2026, 6:38 p.m.