Augustin Žídek
E736801
computational biologist
machine learning researcher
protein structure prediction system
researcher
scientific article
Augustin Žídek is a researcher in computational biology and machine learning, known for co-authoring the landmark 2021 Nature paper on AlphaFold’s protein structure prediction.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Augustin Žídek canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8482642 — 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: Augustin Žídek Context triple: [Jumper et al., Nature 2021, hasAuthor, Augustin Žídek]
-
A.
Josef Zítek
Josef Zítek was a 19th-century Czech architect best known for his monumental Neo-Renaissance designs that helped shape Prague’s cultural and urban landscape.
-
B.
Zbyněk Žába
Zbyněk Žába was a Czech Egyptologist known for his significant contributions to the study of ancient Egypt and for helping establish modern Egyptology in Czechoslovakia.
-
C.
Viktor Pospíšil
Viktor Pospíšil is a conductor and music director known for his leadership at the Staatsoper Stuttgart.
-
D.
Pavel Janák
Pavel Janák was a prominent Czech architect and designer associated with Czech Cubism and later Functionalism, known for his innovative contributions to early 20th-century architecture and applied arts.
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E.
Ludvík Vaculík
Ludvík Vaculík was a Czech writer, dissident, and influential critic of the communist regime, known for his samizdat essays and role in the Prague Spring and human rights movements.
- 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: Augustin Žídek Target entity description: Augustin Žídek is a researcher in computational biology and machine learning, known for co-authoring the landmark 2021 Nature paper on AlphaFold’s protein structure prediction.
-
A.
Josef Zítek
Josef Zítek was a 19th-century Czech architect best known for his monumental Neo-Renaissance designs that helped shape Prague’s cultural and urban landscape.
-
B.
Zbyněk Žába
Zbyněk Žába was a Czech Egyptologist known for his significant contributions to the study of ancient Egypt and for helping establish modern Egyptology in Czechoslovakia.
-
C.
Viktor Pospíšil
Viktor Pospíšil is a conductor and music director known for his leadership at the Staatsoper Stuttgart.
-
D.
Pavel Janák
Pavel Janák was a prominent Czech architect and designer associated with Czech Cubism and later Functionalism, known for his innovative contributions to early 20th-century architecture and applied arts.
-
E.
Ludvík Vaculík
Ludvík Vaculík was a Czech writer, dissident, and influential critic of the communist regime, known for his samizdat essays and role in the Prague Spring and human rights movements.
- F. None of above. chosen
Statements (24)
| Predicate | Object |
|---|---|
| instanceOf |
computational biologist
ⓘ
machine learning researcher ⓘ protein structure prediction system ⓘ researcher ⓘ scientific article ⓘ |
| coAuthorOf | "Highly accurate protein structure prediction with AlphaFold" NERFINISHED ⓘ |
| contributedTo | development of AlphaFold ⓘ |
| developer | DeepMind NERFINISHED ⓘ |
| fieldOfWork |
artificial intelligence
ⓘ
computational biology ⓘ machine learning ⓘ |
| hasGivenTalkOn |
AlphaFold
NERFINISHED
ⓘ
protein structure prediction with deep learning ⓘ |
| knownFor |
co-authoring the 2021 Nature AlphaFold paper
ⓘ
research on protein structure prediction ⓘ |
| notablePublication | 2021 Nature paper on highly accurate protein structure prediction with AlphaFold ⓘ |
| notableWork | AlphaFold protein structure prediction system NERFINISHED ⓘ |
| publicationYear | 2021 ⓘ |
| publishedIn | Nature NERFINISHED ⓘ |
| researchInterest |
applications of machine learning to biology
ⓘ
computational structural biology ⓘ deep learning ⓘ protein structure prediction ⓘ |
| worksOn | AlphaFold-related research ⓘ |
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: Augustin Žídek Description of subject: Augustin Žídek is a researcher in computational biology and machine learning, known for co-authoring the landmark 2021 Nature paper on AlphaFold’s protein structure prediction.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.