Alex Graves
E200559
Alex Graves is a computer scientist and machine learning researcher known for his influential work on recurrent neural networks, deep reinforcement learning, and sequence modeling.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Alex Graves canonical | 5 |
How this entity was disambiguated
This entity first appeared as the object of triple T1793166 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alex Graves Context triple: [Atari deep Q-network, coAuthor, Alex Graves]
-
A.
Luke Smith
Luke Smith is a genetically engineered, highly intelligent teenage boy who becomes the adopted son and companion of former Doctor Who companion Sarah Jane Smith in the Doctor Who spin-off series "The Sarah Jane Adventures."
-
B.
Michael Kube-McDowell
Michael Kube-McDowell is an American science fiction author known for his novels, short stories, and contributions to major franchises such as Star Wars.
-
C.
Dan Stark
Dan Stark is a fictional, rule-bending veteran detective from the TV series "The Good Guys," portrayed by actor Bradley Whitford.
-
D.
Michael Athans
Michael Athans was a prominent control theorist and MIT professor known for his pioneering contributions to modern control theory and systems engineering.
-
E.
Christian Kane
Christian Kane is an American actor and singer best known for his role as Eliot Spencer on the television series "Leverage" and as the lead vocalist of the country-rock band Kane.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alex Graves Target entity description: Alex Graves is a computer scientist and machine learning researcher known for his influential work on recurrent neural networks, deep reinforcement learning, and sequence modeling.
-
A.
Luke Smith
Luke Smith is a genetically engineered, highly intelligent teenage boy who becomes the adopted son and companion of former Doctor Who companion Sarah Jane Smith in the Doctor Who spin-off series "The Sarah Jane Adventures."
-
B.
Michael Kube-McDowell
Michael Kube-McDowell is an American science fiction author known for his novels, short stories, and contributions to major franchises such as Star Wars.
-
C.
Dan Stark
Dan Stark is a fictional, rule-bending veteran detective from the TV series "The Good Guys," portrayed by actor Bradley Whitford.
-
D.
Michael Athans
Michael Athans was a prominent control theorist and MIT professor known for his pioneering contributions to modern control theory and systems engineering.
-
E.
Christian Kane
Christian Kane is an American actor and singer best known for his role as Eliot Spencer on the television series "Leverage" and as the lead vocalist of the country-rock band Kane.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
computer scientist
ⓘ
machine learning researcher ⓘ |
| academicDegree | PhD in computer science ⓘ |
| authorOf | Supervised Sequence Labelling with Recurrent Neural Networks ⓘ |
| citizenship | United Kingdom ⓘ |
| coAuthorOf |
Differentiable Neural Computers
ⓘ
surface form:
Differentiable Neural Computers paper
Neural Turing Machines (contributions) ⓘ
surface form:
Neural Turing Machines paper
Playing Atari with Deep Reinforcement Learning follow-up works ⓘ |
| doctoralAdvisor | Sethu Vijayakumar ⓘ |
| educatedAt | University of Edinburgh ⓘ |
| employer |
DeepMind
ⓘ
surface form:
Google DeepMind
|
| fieldOfWork |
artificial intelligence
ⓘ
deep learning ⓘ deep reinforcement learning ⓘ machine learning ⓘ recurrent neural networks ⓘ sequence modeling ⓘ |
| hasResearchInterest |
gradient-based optimization
ⓘ
handwriting recognition ⓘ memory-augmented neural networks ⓘ probabilistic modeling ⓘ reinforcement learning ⓘ sequence-to-sequence learning ⓘ speech recognition ⓘ |
| influenced | applications of RNNs in industry ⓘ |
| influencedBy |
Jürgen Schmidhuber
ⓘ
Sepp Hochreiter ⓘ |
| knownFor |
Differentiable Neural Computers
ⓘ
Neural Turing Machines (contributions) ⓘ
surface form:
Neural Turing Machines
advances in recurrent neural networks ⓘ deep reinforcement learning for games ⓘ development of Connectionist Temporal Classification ⓘ handwriting recognition with RNNs ⓘ sequence generation with RNNs ⓘ speech recognition with RNNs ⓘ |
| memberOf | DeepMind ⓘ |
| nationality | British ⓘ |
| notableWork |
Connectionist Temporal Classification
ⓘ
Deep Q-Learning ⓘ
surface form:
Deep Recurrent Q-Learning
Differentiable Neural Computers ⓘ Generating sequences with recurrent neural networks ⓘ Long Short-Term Memory applications ⓘ Neural Turing Machines (contributions) ⓘ
surface form:
Neural Turing Machines
Sequence transduction with recurrent neural networks ⓘ |
| publicationType |
conference papers
ⓘ
journal articles ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: Alex Graves Description of subject: Alex Graves is a computer scientist and machine learning researcher known for his influential work on recurrent neural networks, deep reinforcement learning, and sequence modeling.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Neural Turing Machines