Stig Petersen
E748277
Stig Petersen is a researcher and scientist known for co-authoring a 2021 Nature paper led by Jumper and colleagues, likely in the field of computational biology or protein structure prediction.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Stig Petersen canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8482654 — 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: Stig Petersen Context triple: [Jumper et al., Nature 2021, hasAuthor, Stig Petersen]
-
A.
Morten Ristorp
Morten Ristorp is a Danish songwriter and producer known for his work on international pop and R&B hits.
-
B.
Jens Toldstrup
Jens Toldstrup was a prominent Danish resistance leader during World War II, known for organizing sabotage and intelligence operations against the German occupation.
-
C.
Roland Møller
Roland Møller is a Danish actor and former rapper known for his intense supporting roles in films such as "Land of Mine," "Atomic Blonde," and "Papillon."
-
D.
Morten Rasmussen
Morten Rasmussen is a Danish former professional footballer known for his prolific goal-scoring as a striker, particularly in the Danish Superliga.
-
E.
Søren Stærmose
Søren Stærmose is a Danish film producer best known for his work on adaptations of Stieg Larsson’s Millennium series, including The Girl with the Dragon Tattoo.
- 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: Stig Petersen Target entity description: Stig Petersen is a researcher and scientist known for co-authoring a 2021 Nature paper led by Jumper and colleagues, likely in the field of computational biology or protein structure prediction.
-
A.
Morten Ristorp
Morten Ristorp is a Danish songwriter and producer known for his work on international pop and R&B hits.
-
B.
Jens Toldstrup
Jens Toldstrup was a prominent Danish resistance leader during World War II, known for organizing sabotage and intelligence operations against the German occupation.
-
C.
Roland Møller
Roland Møller is a Danish actor and former rapper known for his intense supporting roles in films such as "Land of Mine," "Atomic Blonde," and "Papillon."
-
D.
Morten Rasmussen
Morten Rasmussen is a Danish former professional footballer known for his prolific goal-scoring as a striker, particularly in the Danish Superliga.
-
E.
Søren Stærmose
Søren Stærmose is a Danish film producer best known for his work on adaptations of Stieg Larsson’s Millennium series, including The Girl with the Dragon Tattoo.
- F. None of above. chosen
Statements (31)
| Predicate | Object |
|---|---|
| instanceOf |
researcher
ⓘ
scientist ⓘ |
| associatedWith |
AlphaFold project
ⓘ
linked to:
AlphaFold
|
| authorOf | 2021 Nature paper on highly accurate protein structure prediction with AlphaFold ⓘ |
| coAuthorWith |
Alexander Pritzel
ⓘ
Andrei A. Kovalevsky ⓘ Andrew Cowie ⓘ Andrew J. Ballard ⓘ Anna Bridgland ⓘ Augustin Žídek ⓘ Bernhard Sander ⓘ Demis Hassabis ⓘ Giorgos Georgiou ⓘ John Jumper ⓘ Kathryn Tunyasuvunakool ⓘ Michael Figurnov ⓘ Michal J. Meyer ⓘ Milan B. Tunyasuvunakool ⓘ Olaf Ronneberger ⓘ Pushmeet Kohli ⓘ Richard Evans ⓘ Russ Bates ⓘ Simon A. A. Kohl ⓘ Tim Green ⓘ |
| fieldOfWork |
computational biology
ⓘ
protein structure prediction ⓘ |
| hasGender | male ⓘ |
| notableWork | co-author of a 2021 Nature paper led by John Jumper and colleagues ⓘ |
| publicationYear | 2021 ⓘ |
| publishedIn | Nature ⓘ |
| worksOn | machine learning methods for protein structures ⓘ |
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: Stig Petersen Description of subject: Stig Petersen is a researcher and scientist known for co-authoring a 2021 Nature paper led by Jumper and colleagues, likely in the field of computational biology or protein structure prediction.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.