Triple
T1413909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Schulman |
E31866
|
entity |
| Predicate | coAuthorWith |
P398
|
FINISHED |
| Object |
Philipp Moritz
Philipp Moritz is a researcher in machine learning and reinforcement learning, known for co-authoring influential work such as the Proximal Policy Optimization (PPO) algorithm.
|
E180169
|
NE FINISHED |
Provenance (5 batches)
| Stage | Batch ID | Job type | Status |
|---|---|---|---|
| creating | batch_69a49919a994819086528951bc224775 |
elicitation | completed |
| NER | batch_69a4c3e476f08190aed1576805c62462 |
ner | completed |
| NED1 | batch_69ad46878b3c8190ac46d5b9f0fd12e7 |
ned_source_triple | completed |
| NED2 | batch_69ad47692f288190892e48c2bd87df90 |
ned_description | completed |
| NEDg | batch_69ad470cdcd8819094bfc66d0cb38295 |
nedg | completed |
Created at: March 1, 2026, 7:59 p.m.