Simon A. A. Kohl
E736802
Simon A. A. Kohl is a researcher in computational biology and protein structure prediction, known for co-authoring the influential 2021 Nature paper on highly accurate protein structure prediction.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Simon A. A. Kohl canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8482646 — 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.
Target entity: Simon A. A. Kohl Context triple: [Jumper et al., Nature 2021, hasAuthor, Simon A. A. Kohl]
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A.
Fred Kohlmar
Fred Kohlmar was an American film producer active during Hollywood's studio era, known for overseeing a variety of popular comedies and musicals.
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B.
Richard K.A. Kletting
Richard K.A. Kletting was a prominent German-American architect best known for designing several landmark buildings in Utah, including the Utah State Capitol.
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C.
Erich A. Collin
Erich A. Collin was a tenor and founding member of the renowned German vocal group the Comedian Harmonists, whose life and career were dramatized in the film "Comedian Harmonists."
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D.
Nathan H. Knorr
Nathan H. Knorr was the third president of the Watch Tower Bible and Tract Society, under whose leadership Jehovah’s Witnesses expanded globally and emphasized systematic Bible education.
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E.
Malcolm H. I. Ehrlich
Malcolm H. I. Ehrlich is an individual notable enough to be recognized as a bearer of the Ehrlich surname, though specific widely known biographical or professional details about him are not readily documented in major public sources.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Simon A. A. Kohl Target entity description: Simon A. A. Kohl is a researcher in computational biology and protein structure prediction, known for co-authoring the influential 2021 Nature paper on highly accurate protein structure prediction.
-
A.
Fred Kohlmar
Fred Kohlmar was an American film producer active during Hollywood's studio era, known for overseeing a variety of popular comedies and musicals.
-
B.
Richard K.A. Kletting
Richard K.A. Kletting was a prominent German-American architect best known for designing several landmark buildings in Utah, including the Utah State Capitol.
-
C.
Erich A. Collin
Erich A. Collin was a tenor and founding member of the renowned German vocal group the Comedian Harmonists, whose life and career were dramatized in the film "Comedian Harmonists."
-
D.
Nathan H. Knorr
Nathan H. Knorr was the third president of the Watch Tower Bible and Tract Society, under whose leadership Jehovah’s Witnesses expanded globally and emphasized systematic Bible education.
-
E.
Malcolm H. I. Ehrlich
Malcolm H. I. Ehrlich is an individual notable enough to be recognized as a bearer of the Ehrlich surname, though specific widely known biographical or professional details about him are not readily documented in major public sources.
- F. None of above. chosen
Statements (29)
| Predicate | Object |
|---|---|
| instanceOf |
computational biologist
ⓘ
researcher ⓘ scientist ⓘ |
| contributedTo | highly accurate protein structure prediction methods ⓘ |
| fieldOfWork |
artificial intelligence
ⓘ
computational biology ⓘ machine learning ⓘ protein structure prediction ⓘ |
| hasAcademicDiscipline |
bioinformatics
ⓘ
computer science ⓘ |
| hasCitizenship | Germany NERFINISHED ⓘ |
| hasFamilyName | Kohl NERFINISHED ⓘ |
| hasGender | male ⓘ |
| hasGivenName | Simon NERFINISHED ⓘ |
| hasInitials | S. A. A. NERFINISHED ⓘ |
| hasPublicationType | journal article ⓘ |
| hasPublicationYear | 2021 ⓘ |
| knownFor |
co-authoring a 2021 Nature paper on highly accurate protein structure prediction
ⓘ
research on protein structure prediction ⓘ |
| languageOfWorkOrName |
English
ⓘ
German ⓘ |
| notableWorkYear | 2021 ⓘ |
| publishedIn | Nature NERFINISHED ⓘ |
| researchInterest |
biological sequence analysis
ⓘ
computational methods for biology ⓘ protein folding ⓘ structural bioinformatics ⓘ |
| usesMethod |
deep learning
ⓘ
neural networks ⓘ |
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.
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.
Subject: Simon A. A. Kohl Description of subject: Simon A. A. Kohl is a researcher in computational biology and protein structure prediction, known for co-authoring the influential 2021 Nature paper on highly accurate protein structure prediction.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.