Jakob Uszkoreit
E457854
artificial intelligence researcher
computer scientist
neural network architecture
person
researcher
scientific paper
Jakob Uszkoreit is a computer scientist and AI researcher best known as one of the co-authors of the seminal "Attention Is All You Need" paper that introduced the Transformer architecture.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Jakob Uszkoreit canonical | 8 |
| Niki Uszkoreit | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4651099 — 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: Jakob Uszkoreit Context triple: [Transformer, introducedBy, Jakob Uszkoreit]
-
A.
Ilya Sutskever
Ilya Sutskever is a leading artificial intelligence researcher and co-founder of OpenAI, known for his pioneering work in deep learning and neural networks.
-
B.
Nicolas Heess
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).
-
C.
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.
-
D.
Tomas Mikolov
Tomas Mikolov is a computer scientist and researcher best known for developing the word2vec algorithm and contributing foundational work to neural language models and distributed word representations.
-
E.
Pascal Vincent
Pascal Vincent is a Canadian professional ice hockey coach known for serving as head coach of the NHL’s Columbus Blue Jackets and for his extensive coaching career in junior and professional hockey.
- 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: Jakob Uszkoreit Target entity description: Jakob Uszkoreit is a computer scientist and AI researcher best known as one of the co-authors of the seminal "Attention Is All You Need" paper that introduced the Transformer architecture.
-
A.
Ilya Sutskever
Ilya Sutskever is a leading artificial intelligence researcher and co-founder of OpenAI, known for his pioneering work in deep learning and neural networks.
-
B.
Nicolas Heess
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).
-
C.
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.
-
D.
Tomas Mikolov
Tomas Mikolov is a computer scientist and researcher best known for developing the word2vec algorithm and contributing foundational work to neural language models and distributed word representations.
-
E.
Pascal Vincent
Pascal Vincent is a Canadian professional ice hockey coach known for serving as head coach of the NHL’s Columbus Blue Jackets and for his extensive coaching career in junior and professional hockey.
- F. None of above. chosen
Statements (41)
| Predicate | Object |
|---|---|
| instanceOf |
artificial intelligence researcher
ⓘ
computer scientist ⓘ neural network architecture ⓘ person ⓘ researcher ⓘ scientific paper ⓘ |
| coAuthorOf |
"Attention Is All You Need"
ⓘ
linked to:
Attention Is All You Need
|
| describes | Transformer architecture ⓘ |
| educatedAt |
Technische Universität Berlin
ⓘ
linked to:
Technical University of Berlin
|
| employer |
Google
ⓘ
Google Brain ⓘ |
| fieldOfWork |
artificial intelligence
ⓘ
deep learning ⓘ machine learning ⓘ natural language processing ⓘ |
| gender | male ⓘ |
| hasAuthor | Jakob Uszkoreit ⓘ |
| hasCitizenship | Germany ⓘ |
| hasCoAuthor |
Aidan N. Gomez
ⓘ
Ashish Vaswani ⓘ Illia Polosukhin ⓘ Llion Jones ⓘ Niki Parmar ⓘ Noam Shazeer ⓘ Łukasz Kaiser ⓘ
linked to:
Lukasz Kaiser
|
| knownFor |
co-authoring the paper "Attention Is All You Need"
ⓘ
contributions to the Transformer architecture ⓘ |
| language |
English
ⓘ
German ⓘ |
| memberOf | Google Brain ⓘ |
| notableWork |
"Attention Is All You Need"
ⓘ
linked to:
Attention Is All You Need
Transformer architecture ⓘ
linked to:
Transformer
|
| occupation |
AI researcher
ⓘ
computer scientist ⓘ |
| researchInterest |
attention mechanisms in neural networks
ⓘ
neural network architectures ⓘ sequence modeling ⓘ |
| workedOn | Transformer architecture ⓘ |
| workLocation |
California
ⓘ
linked to:
California, United States
Mountain View ⓘ United States ⓘ
linked to:
United States of America
|
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: Jakob Uszkoreit Description of subject: Jakob Uszkoreit is a computer scientist and AI researcher best known as one of the co-authors of the seminal "Attention Is All You Need" paper that introduced the Transformer architecture.
Referenced by (9)
Full triples — surface form annotated when it differs from this entity's canonical label.