Sebastian Bodenstein
E739004
Sebastian Bodenstein is a researcher who contributed as a co-author to the landmark 2021 Nature paper by Jumper et al. describing the AlphaFold protein structure prediction system.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Sebastian Bodenstein canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T8482661 — 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: Sebastian Bodenstein Context triple: [Jumper et al., Nature 2021, hasAuthor, Sebastian Bodenstein]
-
A.
Alexander Schmorell
Alexander Schmorell was a German medical student and co-founder of the White Rose resistance group that opposed the Nazi regime through clandestine leaflet campaigns.
-
B.
Markus Morgenstern
Markus Morgenstern is a mathematician known for his contributions to combinatorics and graph theory.
-
C.
Maximilian Scheffler
Maximilian Scheffler is a scientist known as a notable student and protégé of the German quantum chemist Joachim Sauer.
-
D.
Matthias Jabs
Matthias Jabs is a German rock guitarist best known as the longtime lead guitarist of the band Scorpions, contributing to their signature hard rock sound since the late 1970s.
-
E.
Thomas Römer
Thomas Römer is a prominent French biblical scholar and historian of ancient Israel, known for his influential work on the composition and historical context of the Hebrew Bible.
- 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: Sebastian Bodenstein Target entity description: Sebastian Bodenstein is a researcher who contributed as a co-author to the landmark 2021 Nature paper by Jumper et al. describing the AlphaFold protein structure prediction system.
-
A.
Alexander Schmorell
Alexander Schmorell was a German medical student and co-founder of the White Rose resistance group that opposed the Nazi regime through clandestine leaflet campaigns.
-
B.
Markus Morgenstern
Markus Morgenstern is a mathematician known for his contributions to combinatorics and graph theory.
-
C.
Maximilian Scheffler
Maximilian Scheffler is a scientist known as a notable student and protégé of the German quantum chemist Joachim Sauer.
-
D.
Matthias Jabs
Matthias Jabs is a German rock guitarist best known as the longtime lead guitarist of the band Scorpions, contributing to their signature hard rock sound since the late 1970s.
-
E.
Thomas Römer
Thomas Römer is a prominent French biblical scholar and historian of ancient Israel, known for his influential work on the composition and historical context of the Hebrew Bible.
- F. None of above. chosen
Statements (35)
| Predicate | Object |
|---|---|
| instanceOf |
person
ⓘ
researcher ⓘ scientific article ⓘ |
| authorOf | "Highly accurate protein structure prediction with AlphaFold" ⓘ |
| coAuthorWith |
Alex Bridgland
ⓘ
Alexander Pritzel ⓘ Andrew Cowie ⓘ Andrew J. Ballard ⓘ Andrew W. R. Nelson ⓘ Anna Potapenko ⓘ Augustin Žídek ⓘ Bernhard Meyer ⓘ Charlie Meyer ⓘ Demis Hassabis ⓘ John Jumper ⓘ Kathryn Tunyasuvunakool ⓘ Michael Figurnov ⓘ Olaf Ronneberger ⓘ Pushmeet Kohli ⓘ Richard Evans ⓘ Russ Bates ⓘ S. A. A. Kohl ⓘ
linked to:
Simon A. A. Kohl
Simone A. A. Kohl ⓘ Tim Green ⓘ Tom Bridgland ⓘ |
| fieldOfWork |
computational biology
ⓘ
protein structure prediction ⓘ |
| hasAuthor | Sebastian Bodenstein ⓘ |
| knownFor | contributions to AlphaFold protein structure prediction system ⓘ |
| notableWork | co-author of 2021 Nature paper on AlphaFold ⓘ |
| occupation | researcher ⓘ |
| publicationYear |
2021
ⓘ
2021 ⓘ |
| publishedIn |
Nature
ⓘ
Nature ⓘ |
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: Sebastian Bodenstein Description of subject: Sebastian Bodenstein is a researcher who contributed as a co-author to the landmark 2021 Nature paper by Jumper et al. describing the AlphaFold protein structure prediction system.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
Sebastian Bodenstein