Fay Chang
E705937
Fay Chang is a computer scientist known for co-authoring the influential Google Bigtable paper on large-scale distributed storage systems.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Fay Chang canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7932419 — 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: Fay Chang Context triple: [Bigtable, paperAuthorsInclude, Fay Chang]
-
A.
Rosalie Chiang
Rosalie Chiang is an American actress best known for voicing the main character, Meilin "Mei" Lee, in Pixar's animated film "Turning Red."
-
B.
Margaret Chung
Margaret Chung was a pioneering Chinese American physician and surgeon, widely regarded as the first Chinese American woman doctor in the United States and known for her influential role in supporting U.S. military personnel during World War II.
-
C.
Rachel Fong
Rachel Fong is a researcher in machine learning and reinforcement learning, known for her work on the Hindsight Experience Replay technique.
-
D.
Fang-Howard Chang
Fang-Howard Chang is an engineer and innovator recognized with the prestigious Edison Medal for his significant contributions to electrical science and technology.
-
E.
Linda Cho
Linda Cho is a Tony Award–winning costume designer known for her work on major Broadway productions and other theatrical performances.
- 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: Fay Chang Target entity description: Fay Chang is a computer scientist known for co-authoring the influential Google Bigtable paper on large-scale distributed storage systems.
-
A.
Rosalie Chiang
Rosalie Chiang is an American actress best known for voicing the main character, Meilin "Mei" Lee, in Pixar's animated film "Turning Red."
-
B.
Margaret Chung
Margaret Chung was a pioneering Chinese American physician and surgeon, widely regarded as the first Chinese American woman doctor in the United States and known for her influential role in supporting U.S. military personnel during World War II.
-
C.
Rachel Fong
Rachel Fong is a researcher in machine learning and reinforcement learning, known for her work on the Hindsight Experience Replay technique.
-
D.
Fang-Howard Chang
Fang-Howard Chang is an engineer and innovator recognized with the prestigious Edison Medal for his significant contributions to electrical science and technology.
-
E.
Linda Cho
Linda Cho is a Tony Award–winning costume designer known for her work on major Broadway productions and other theatrical performances.
- F. None of above. chosen
Statements (27)
| Predicate | Object |
|---|---|
| instanceOf |
computer scientist
ⓘ
researcher ⓘ scientific paper ⓘ |
| affiliation | Google Research NERFINISHED ⓘ |
| coAuthorOf | Bigtable: A Distributed Storage System for Structured Data NERFINISHED ⓘ |
| contributedTo |
design of Google Bigtable
ⓘ
large-scale data storage infrastructure at Google ⓘ |
| countryOfCitizenship |
United States of America
ⓘ
surface form:
United States
|
| educatedIn | computer science ⓘ |
| employer | Google ⓘ |
| fieldOfWork |
cloud computing infrastructure
ⓘ
distributed storage ⓘ distributed systems ⓘ storage systems ⓘ |
| gender | female ⓘ |
| hasAuthor | Fay Chang NERFINISHED ⓘ |
| hasRole |
software engineer
ⓘ
systems engineer ⓘ |
| influenced |
design of NoSQL databases
ⓘ
design of distributed key-value stores ⓘ |
| knownFor |
co-authoring the Google Bigtable paper
ⓘ
work on large-scale distributed storage systems ⓘ |
| languageOfWorkOrName | English ⓘ |
| notableFor | influencing later NoSQL and distributed database systems through Bigtable design ⓘ |
| notableWork | Bigtable: A Distributed Storage System for Structured Data NERFINISHED ⓘ |
| publishedBy | Google NERFINISHED ⓘ |
| workLocation | Mountain View, California NERFINISHED ⓘ |
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: Fay Chang Description of subject: Fay Chang is a computer scientist known for co-authoring the influential Google Bigtable paper on large-scale distributed storage systems.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.