Triple
T1616493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jimmy Ba |
E34729
|
entity |
| Predicate | coAuthorWith |
P398
|
FINISHED |
| Object |
Diederik P. Kingma
Diederik P. Kingma is a machine learning researcher best known for co-developing the Adam optimization algorithm and the variational autoencoder (VAE) framework.
|
E182823
|
NE FINISHED |
Provenance (5 batches)
| Stage | Batch ID | Job type | Status |
|---|---|---|---|
| creating | batch_69a885ffc5ec819091afa325d5f9611c |
elicitation | completed |
| NER | batch_69a909abbec081908f95547471530ad5 |
ner | completed |
| NED1 | batch_69ad51cd2e54819086924378792eb2e3 |
ned_source_triple | completed |
| NED2 | batch_69ad52b3dcf081909e73fba891e985b2 |
ned_description | completed |
| NEDg | batch_69ad5248af2881909755ae87b4cd0041 |
nedg | completed |
Created at: March 4, 2026, 7:28 p.m.