Mona Pacholska
E736809
Mona Pacholska is a researcher who co-authored the influential 2021 Nature paper by Jumper et al. that introduced the breakthrough AlphaFold protein structure prediction system.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Mona Pacholska canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8482659 — 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: Mona Pacholska Context triple: [Jumper et al., Nature 2021, hasAuthor, Mona Pacholska]
-
A.
Alice Pieszecki
Alice Pieszecki is a witty, bisexual radio host and journalist in the television drama "The L Word," known for her humor, pop-culture savvy, and complex relationships within the show's central friend group.
-
B.
Sonya Szatkowski
Sonya Szatkowski is best known as the wife of professional wrestler and former WWE and ECW star Rob Van Dam.
-
C.
Gwendolyn Kopechne
Gwendolyn Kopechne is an individual whose name appears as an alternate or formal version of Gwen Kopechne, likely referring to the same person.
-
D.
Marian Kozinski
Marian Kozinski is the wife of former U.S. federal appellate judge Alex Kozinski.
-
E.
Diana Pokorny
Diana Pokorny is a film producer best known for her work on the fantasy adventure movie "Inkheart."
- 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: Mona Pacholska Target entity description: Mona Pacholska is a researcher who co-authored the influential 2021 Nature paper by Jumper et al. that introduced the breakthrough AlphaFold protein structure prediction system.
-
A.
Alice Pieszecki
Alice Pieszecki is a witty, bisexual radio host and journalist in the television drama "The L Word," known for her humor, pop-culture savvy, and complex relationships within the show's central friend group.
-
B.
Sonya Szatkowski
Sonya Szatkowski is best known as the wife of professional wrestler and former WWE and ECW star Rob Van Dam.
-
C.
Gwendolyn Kopechne
Gwendolyn Kopechne is an individual whose name appears as an alternate or formal version of Gwen Kopechne, likely referring to the same person.
-
D.
Marian Kozinski
Marian Kozinski is the wife of former U.S. federal appellate judge Alex Kozinski.
-
E.
Diana Pokorny
Diana Pokorny is a film producer best known for her work on the fantasy adventure movie "Inkheart."
- F. None of above. chosen
Statements (40)
| Predicate | Object |
|---|---|
| instanceOf |
researcher
ⓘ
scientist ⓘ |
| associatedWith |
AlphaFold project
ⓘ
linked to:
AlphaFold
|
| authorNameOnPaper | M. Pacholska ⓘ |
| citationImpact | co-authored a highly cited Nature paper on AlphaFold ⓘ |
| coAuthorOf |
2021 Nature paper "Highly accurate protein structure prediction with AlphaFold"
ⓘ
linked to:
AlphaFold
|
| coAuthorWith |
Alexander Pritzel
ⓘ
Andrew Cowie ⓘ Andrew J. Ballard ⓘ Anna Bridgland ⓘ Augustin Žídek ⓘ Bernhard Gerhard Schalk ⓘ Charlie Meyer ⓘ D. Silver ⓘ Demis Hassabis ⓘ John Jumper ⓘ K. Kavukcuoglu ⓘ
linked to:
Koray Kavukcuoglu
Kathryn Tunyasuvunakool ⓘ M. B. Gorlich ⓘ M. R. Berghammer ⓘ Michael Figurnov ⓘ Olaf Ronneberger ⓘ Richard Evans ⓘ Russ Bates ⓘ S. Bodenstein ⓘ Simon A. A. Kohl ⓘ Tim Green ⓘ |
| contributedTo |
demonstration of near-experimental accuracy in protein structure prediction
ⓘ
development and validation of AlphaFold system ⓘ |
| fieldOfWork |
artificial intelligence in biology
ⓘ
computational biology ⓘ protein structure prediction ⓘ |
| hasNotableWork | "Highly accurate protein structure prediction with AlphaFold" ⓘ |
| knownFor |
co-authoring the 2021 Nature paper on AlphaFold
ⓘ
work on AlphaFold protein structure prediction system ⓘ |
| publicationYear | 2021 ⓘ |
| publishedIn | Nature ⓘ |
| researchArea |
bioinformatics
ⓘ
deep learning for structural biology ⓘ |
| worksOn | machine-learning-based protein structure prediction ⓘ |
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: Mona Pacholska Description of subject: Mona Pacholska is a researcher who co-authored the influential 2021 Nature paper by Jumper et al. that introduced the breakthrough AlphaFold protein structure prediction system.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.