Daphne Koller
E61924
Daphne Koller is a computer scientist and entrepreneur best known as the co-founder of the online education platform Coursera and for her influential work in probabilistic graphical models and machine learning.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Daphne Koller canonical | 8 |
How this entity was disambiguated
This entity first appeared as the object of triple T480834 — 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: Daphne Koller Context triple: [Coursera, foundedBy, Daphne Koller]
-
A.
Andrew Ng
Andrew Ng is a prominent computer scientist and entrepreneur known for his pioneering work in artificial intelligence and deep learning, as well as co-founding Google Brain and the online education platform Coursera.
-
B.
Hal Abelson
Hal Abelson is an American computer scientist and MIT professor known for his pioneering work in computer science education, open knowledge, and software freedom.
-
C.
Miri Ben-Ari
Miri Ben-Ari is an Israeli-American violinist, producer, and composer known for blending classical violin with hip-hop and R&B, collaborating with major artists across genres.
-
D.
Ian Foster
Ian Foster is a New Zealand rugby union coach best known for serving as head coach of the All Blacks national team.
-
E.
Samy Bengio
Samy Bengio is a prominent machine learning researcher known for his contributions to deep learning and his leadership roles at major AI organizations including Google and Apple.
- 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: Daphne Koller Target entity description: Daphne Koller is a computer scientist and entrepreneur best known as the co-founder of the online education platform Coursera and for her influential work in probabilistic graphical models and machine learning.
-
A.
Andrew Ng
Andrew Ng is a prominent computer scientist and entrepreneur known for his pioneering work in artificial intelligence and deep learning, as well as co-founding Google Brain and the online education platform Coursera.
-
B.
Hal Abelson
Hal Abelson is an American computer scientist and MIT professor known for his pioneering work in computer science education, open knowledge, and software freedom.
-
C.
Miri Ben-Ari
Miri Ben-Ari is an Israeli-American violinist, producer, and composer known for blending classical violin with hip-hop and R&B, collaborating with major artists across genres.
-
D.
Ian Foster
Ian Foster is a New Zealand rugby union coach best known for serving as head coach of the All Blacks national team.
-
E.
Samy Bengio
Samy Bengio is a prominent machine learning researcher known for his contributions to deep learning and his leadership roles at major AI organizations including Google and Apple.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
artificial intelligence researcher
ⓘ
computer scientist ⓘ entrepreneur ⓘ |
| author |
Daphne Koller
ⓘ
Nir Friedman ⓘ |
| awardReceived |
ACM-Infosys Foundation Award in Computing Sciences
ⓘ
linked to:
ACM Prize in Computing
IJCAI Computers and Thought Award ⓘ MacArthur Fellowship ⓘ Sloan Research Fellowship ⓘ
linked to:
Sloan Research Fellowships
|
| citizenship |
Israel
ⓘ
United States of America ⓘ |
| coFounded |
Coursera
ⓘ
Insitro ⓘ |
| coFounder |
Daphne Koller
ⓘ
Daphne Koller ⓘ |
| degree | PhD in computer science ⓘ |
| doctoralAdvisor | Joseph Halpern ⓘ |
| educatedAt |
Hebrew University of Jerusalem
ⓘ
Stanford University ⓘ |
| employer |
Calico Labs
ⓘ
linked to:
Calico LLC
Coursera ⓘ Insitro ⓘ Stanford University ⓘ |
| field |
artificial intelligence
ⓘ
computer science ⓘ machine learning ⓘ online education ⓘ probabilistic graphical models ⓘ |
| gender | female ⓘ |
| knownFor |
co-founding Coursera
ⓘ
research in computational biology ⓘ research in machine learning ⓘ work on probabilistic graphical models ⓘ |
| memberOf |
American Academy of Arts and Sciences
ⓘ
National Academy of Engineering ⓘ National Academy of Sciences ⓘ |
| nationality |
American
ⓘ
Israeli ⓘ
linked to:
Israel
|
| notableFor | pioneering large-scale online courses (MOOCs) through Coursera ⓘ |
| notableWork | Probabilistic Graphical Models: Principles and Techniques ⓘ |
| occupation |
company founder
ⓘ
professor ⓘ |
| positionHeld |
CEO of Insitro
ⓘ
co-CEO of Coursera ⓘ president of Coursera ⓘ professor of computer science at Stanford University ⓘ |
| researchInterest |
Bayesian networks
ⓘ
computational biology ⓘ probabilistic reasoning ⓘ structured probabilistic models ⓘ |
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: Daphne Koller Description of subject: Daphne Koller is a computer scientist and entrepreneur best known as the co-founder of the online education platform Coursera and for her influential work in probabilistic graphical models and machine learning.
Referenced by (8)
Full triples — surface form annotated when it differs from this entity's canonical label.