Shun-Tak Leung
E707879
Shun-Tak Leung is a computer scientist known for co-authoring the influential Google File System paper on distributed storage infrastructure at Google.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Shun-Tak Leung canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T7986000 — 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: Shun-Tak Leung Context triple: [Google File System, paperAuthors, Shun-Tak Leung]
-
A.
Chan Kwong-wing
Chan Kwong-wing is a Hong Kong film composer best known for his scores for acclaimed movies such as the Infernal Affairs trilogy.
-
B.
Ronald Cheng
Ronald Cheng is a Hong Kong actor and Cantopop singer known for his comedic film roles and successful music career.
-
C.
Norman Chan
Norman Chan is a Hong Kong banker and civil servant best known for serving as Chief Executive of the Hong Kong Monetary Authority.
-
D.
Ben Ngai-Cheung Lee
Ben Ngai-Cheung Lee is a screenwriter known for his work in film and television, contributing to contemporary scripted storytelling.
-
E.
Lai-Sang Young
Lai-Sang Young is a prominent mathematician known for her influential work in dynamical systems and ergodic theory.
- 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: Shun-Tak Leung Target entity description: Shun-Tak Leung is a computer scientist known for co-authoring the influential Google File System paper on distributed storage infrastructure at Google.
-
A.
Chan Kwong-wing
Chan Kwong-wing is a Hong Kong film composer best known for his scores for acclaimed movies such as the Infernal Affairs trilogy.
-
B.
Ronald Cheng
Ronald Cheng is a Hong Kong actor and Cantopop singer known for his comedic film roles and successful music career.
-
C.
Norman Chan
Norman Chan is a Hong Kong banker and civil servant best known for serving as Chief Executive of the Hong Kong Monetary Authority.
-
D.
Ben Ngai-Cheung Lee
Ben Ngai-Cheung Lee is a screenwriter known for his work in film and television, contributing to contemporary scripted storytelling.
-
E.
Lai-Sang Young
Lai-Sang Young is a prominent mathematician known for her influential work in dynamical systems and ergodic theory.
- F. None of above. chosen
Statements (20)
| Predicate | Object |
|---|---|
| instanceOf |
computer scientist
ⓘ
researcher ⓘ |
| activeIn | 21st century ⓘ |
| citizenship | United States (inferred, not publicly confirmed) NERFINISHED ⓘ |
| coAuthorOf | The Google File System NERFINISHED ⓘ |
| contributedTo | design of large-scale distributed storage infrastructure at Google ⓘ |
| employer | Google ⓘ |
| fieldOfWork |
computer science
ⓘ
distributed storage ⓘ distributed systems ⓘ |
| genre | scientific paper ⓘ |
| hasRole |
software engineer
ⓘ
systems engineer ⓘ |
| knownFor | co-authoring the Google File System paper ⓘ |
| language | English ⓘ |
| mainInterest |
fault-tolerant distributed storage
ⓘ
large-scale data processing infrastructure ⓘ |
| notableWork | The Google File System NERFINISHED ⓘ |
| workLocation |
Mountain View, California (Google headquarters)
NERFINISHED
ⓘ
United States of America ⓘ
surface form:
United States
|
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: Shun-Tak Leung Description of subject: Shun-Tak Leung is a computer scientist known for co-authoring the influential Google File System paper on distributed storage infrastructure at Google.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.