Fei-Fei Li
E368727
Fei-Fei Li is a prominent computer scientist and AI researcher known for her pioneering work in computer vision and as a leading figure in ethical and human-centered artificial intelligence.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Fei-Fei Li canonical | 3 |
| Fei-Fei | 1 |
| Li Fei-Fei (project lead) | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3557661 — 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: Fei-Fei Li Context triple: [Stanford Artificial Intelligence Laboratory, notableMember, Fei-Fei Li]
-
A.
Corinna Cortes
Corinna Cortes is a prominent computer scientist known for her contributions to machine learning and pattern recognition, including co-developing the widely used MNIST dataset and the support vector machine (SVM) framework.
-
B.
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.
-
C.
Daphne Koller
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.
-
D.
Andrew B. Moore
Andrew B. Moore was an American politician who served as governor of Alabama in the years leading up to and during the early part of the Civil War.
-
E.
Yann LeCun
Yann LeCun is a pioneering computer scientist best known for his foundational work in deep learning and convolutional neural networks, which has profoundly shaped modern artificial intelligence.
- 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: Fei-Fei Li Target entity description: Fei-Fei Li is a prominent computer scientist and AI researcher known for her pioneering work in computer vision and as a leading figure in ethical and human-centered artificial intelligence.
-
A.
Corinna Cortes
Corinna Cortes is a prominent computer scientist known for her contributions to machine learning and pattern recognition, including co-developing the widely used MNIST dataset and the support vector machine (SVM) framework.
-
B.
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.
-
C.
Daphne Koller
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.
-
D.
Andrew B. Moore
Andrew B. Moore was an American politician who served as governor of Alabama in the years leading up to and during the early part of the Civil War.
-
E.
Yann LeCun
Yann LeCun is a pioneering computer scientist best known for his foundational work in deep learning and convolutional neural networks, which has profoundly shaped modern artificial intelligence.
- F. None of above. chosen
Statements (62)
| Predicate | Object |
|---|---|
| instanceOf |
artificial intelligence researcher
ⓘ
author ⓘ computer scientist ⓘ entrepreneur ⓘ human ⓘ professor ⓘ |
| advocatesFor |
diversity in AI
ⓘ
ethical development of AI ⓘ human-centered artificial intelligence ⓘ inclusion in STEM education ⓘ |
| awardReceived |
ACM Prize in Computing
ⓘ
IBM Faculty Fellow ⓘ PAMI Distinguished Researcher Award ⓘ
surface form:
IEEE PAMI Distinguished Researcher Award
Faculty Early Career Development (CAREER) Program ⓘ
surface form:
NSF CAREER Award
|
| coFounded |
AI4ALL
ⓘ
Stanford Institute for Human-Centered Artificial Intelligence ⓘ |
| countryOfCitizenship | United States of America ⓘ |
| degree |
Bachelor's degree in physics
ⓘ
PhD in electrical engineering ⓘ |
| doctoralAdvisor | Christoph Koch ⓘ |
| educatedAt |
California Institute of Technology
ⓘ
Princeton University ⓘ |
| employer |
Google
ⓘ
Stanford University ⓘ |
| familyName | Li ⓘ |
| fieldOfWork |
artificial intelligence
ⓘ
cognitive neuroscience ⓘ computer vision ⓘ ethical AI ⓘ human-centered AI ⓘ machine learning ⓘ |
| gender | female ⓘ |
| givenName |
Fei-Fei Li
self-linksurface differs
ⓘ
surface form:
Fei-Fei
|
| hasPublication | The Worlds I See: Curiosity, Exploration, and Discovery at the Dawn of AI ⓘ |
| industryRole | Chief Scientist of AI/ML at Google Cloud ⓘ |
| knownFor |
ImageNet
ⓘ
deep learning for computer vision ⓘ human-centered artificial intelligence advocacy ⓘ large-scale visual recognition ⓘ |
| languageSpoken |
English
ⓘ
Mandarin Chinese ⓘ |
| memberOf |
American Academy of Arts and Sciences
ⓘ
National Academy of Engineering ⓘ |
| name | Fei-Fei Li self-link ⓘ |
| nativeLanguage | Chinese ⓘ |
| notableWork |
ImageNet
ⓘ
surface form:
ImageNet Large Scale Visual Recognition Challenge
advocacy for diversity and inclusion in AI ⓘ research on representation learning in vision ⓘ research on visual object recognition ⓘ |
| occupation |
AI researcher
ⓘ
professor of computer science ⓘ technology executive ⓘ |
| positionHeld |
Co-director of the Stanford Institute for Human-Centered Artificial Intelligence
ⓘ
Director of the Stanford Artificial Intelligence Lab ⓘ Director of the Stanford Vision Lab ⓘ Professor of Computer Science at Stanford University ⓘ |
| researchInterest |
AI and society
ⓘ
AI ethics ⓘ multimodal learning ⓘ representation learning ⓘ visual recognition ⓘ |
| workInstitution |
Stanford Computer Science Department
ⓘ
surface form:
Stanford University Department of Computer Science
|
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: Fei-Fei Li Description of subject: Fei-Fei Li is a prominent computer scientist and AI researcher known for her pioneering work in computer vision and as a leading figure in ethical and human-centered artificial intelligence.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Fei-Fei