Triple
T17693945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Erez |
E441109
|
entity |
| Predicate | coAuthorWith |
P398
|
FINISHED |
| Object | Nicolas Heess |
—
|
NE NERFINISHED |
Disambiguation candidates (1 decision)
The exact options the model was shown at each disambiguation step, with the option it chose highlighted — the evidence behind this triple's disambiguated ids.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicolas Heess Context triple: [Tom Erez, coAuthorWith, Nicolas Heess]
-
A.
Nicolas Heess
chosen
Nicolas Heess is a machine learning researcher known for his work in deep reinforcement learning, including contributions to algorithms such as Deep Deterministic Policy Gradient (DDPG).
-
B.
Martin Heusel
Martin Heusel is a researcher in machine learning best known for co-introducing the Fréchet Inception Distance (FID), a widely used metric for evaluating generative models.
-
C.
Ilya Goodfellow
Ilya Goodfellow is a machine learning researcher best known for inventing Generative Adversarial Networks (GANs) and contributing to deep learning at organizations like Google and OpenAI.
-
D.
Julian Schrittwieser
Julian Schrittwieser is a computer scientist and AI researcher known for his work at DeepMind on advanced reinforcement learning and game-playing systems such as AlphaZero.
-
E.
Sergey Levine
Sergey Levine is a prominent computer scientist and professor known for his influential research in deep reinforcement learning and robotics.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
| Stage | Batch ID | Job type | Status |
|---|---|---|---|
| creating | batch_69d8b9e940b081908b862bb0e6e89b0d |
elicitation | completed |
| NER | batch_69e4715485d88190b9b6f347ff85d7c7 |
ner | completed |
Created at: April 10, 2026, 10:04 a.m.