Triple
T11003310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation |
E260052
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object |
Holger Schwenk
Holger Schwenk is a computer scientist and researcher known for his influential work in neural machine translation and language modeling, including early contributions to RNN-based encoder–decoder architectures.
|
E931653
|
NE FINISHED |
Provenance (5 batches)
| Stage | Batch ID | Job type | Status |
|---|---|---|---|
| creating | batch_69d6aa8a6a548190a750f944ccdc8064 |
elicitation | completed |
| NER | batch_69d797546f448190946ee6442d657dc5 |
ner | completed |
| NED1 | batch_69e6849dbff08190a352eaaea8606bdb |
ned_source_triple | completed |
| NED2 | batch_69e6b7a31b4081909b06bc9b6d0a1617 |
ned_description | completed |
| NEDg | batch_69e68ce8d7988190a0dd3abe5f2afc97 |
nedg | completed |
Created at: April 8, 2026, 9:25 p.m.