Scott Oki
E133486
Scott Oki is an American businessman and philanthropist best known as a former Microsoft executive who played a key role in building the company’s international business and later became a major supporter of education and community causes.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Scott Oki canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1163197 — 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: Scott Oki Context triple: [Lakeside School, hasAlumnus, Scott Oki]
-
A.
John Shiban
John Shiban is an American television writer and producer best known for his work on series such as The X-Files, Breaking Bad, and other acclaimed dramas.
-
B.
Kevin Yagher
Kevin Yagher is an American special effects and makeup artist and director best known for his work on horror and fantasy films and for creating iconic genre characters.
-
C.
Brian Jegan
Brian Jegan is an athlete best known for lighting the ceremonial torch at the 1998 Commonwealth Games.
-
D.
Douglas Kirk
Douglas Kirk is an individual notable enough to be recognized as a prominent bearer of the surname Kirk.
-
E.
Michael Larsen
Michael Larsen is the person credited with coining the now-popular term “Painted Ladies” to describe the colorfully restored Victorian and Edwardian houses of San Francisco.
- 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: Scott Oki Target entity description: Scott Oki is an American businessman and philanthropist best known as a former Microsoft executive who played a key role in building the company’s international business and later became a major supporter of education and community causes.
-
A.
John Shiban
John Shiban is an American television writer and producer best known for his work on series such as The X-Files, Breaking Bad, and other acclaimed dramas.
-
B.
Kevin Yagher
Kevin Yagher is an American special effects and makeup artist and director best known for his work on horror and fantasy films and for creating iconic genre characters.
-
C.
Brian Jegan
Brian Jegan is an athlete best known for lighting the ceremonial torch at the 1998 Commonwealth Games.
-
D.
Douglas Kirk
Douglas Kirk is an individual notable enough to be recognized as a prominent bearer of the surname Kirk.
-
E.
Michael Larsen
Michael Larsen is the person credited with coining the now-popular term “Painted Ladies” to describe the colorfully restored Victorian and Edwardian houses of San Francisco.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
businessperson
ⓘ
former corporate executive ⓘ human ⓘ philanthropist ⓘ |
| afterLeavingEmployer |
engaged in venture investing
ⓘ
focused on philanthropy ⓘ |
| basedIn | Seattle metropolitan area ⓘ |
| countryOfCitizenship | United States of America ⓘ |
| educatedAt |
University of Colorado Boulder
ⓘ
University of Washington ⓘ |
| employer | Microsoft ⓘ |
| fieldOfWork |
philanthropy
ⓘ
software industry ⓘ technology business ⓘ |
| founded |
Oki Foundation
ⓘ
Oki Golf ⓘ nonprofit and charitable initiatives in Washington State ⓘ |
| hasEthnicGroup | Japanese American ⓘ |
| hasGivenTo |
community nonprofits in the Pacific Northwest
ⓘ
educational institutions in Washington State ⓘ |
| hasNotableAttribute |
early Microsoft millionaire who turned to philanthropy
ⓘ
prominent Japanese American business leader ⓘ |
| hasPhilanthropicFocus |
community development
ⓘ
education ⓘ health and human services ⓘ youth services ⓘ |
| hasRole |
board member of various nonprofits
ⓘ
civic leader in Washington State ⓘ |
| industry |
golf and leisure
ⓘ
technology ⓘ |
| knownFor |
major philanthropy in Washington State
ⓘ
support for community organizations ⓘ support for education reform ⓘ support for youth programs ⓘ |
| languageSpoken | English ⓘ |
| memberOf | Microsoft management team during company’s growth in the 1980s ⓘ |
| notableFor |
expanding Microsoft’s global presence
ⓘ
supporting community causes ⓘ supporting education causes ⓘ |
| notableProject |
support of community centers and youth organizations
ⓘ
support of schools and educational nonprofits in Washington State ⓘ |
| notableWork | building Microsoft’s international business ⓘ |
| occupation |
businessman
ⓘ
investor ⓘ philanthropist ⓘ |
| positionHeld |
head of international operations at Microsoft
ⓘ
senior executive at Microsoft ⓘ |
| residence |
Washington State, United States
ⓘ
surface form:
Washington State
|
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: Scott Oki Description of subject: Scott Oki is an American businessman and philanthropist best known as a former Microsoft executive who played a key role in building the company’s international business and later became a major supporter of education and community causes.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.