Meg Whitman
E906093
Meg Whitman is an American business executive best known for leading eBay’s rapid growth as CEO and later serving as CEO of Hewlett Packard Enterprise and U.S. Ambassador to Kenya.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Meg Whitman canonical | 4 |
How this entity was disambiguated
This entity first appeared as the object of triple T11119557 — 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: Meg Whitman Context triple: [Bain & Company, hasAlumni, Meg Whitman]
-
A.
Patty McCord
Patty McCord is a human resources executive and author best known as Netflix’s former Chief Talent Officer and co-creator of its influential “culture deck” on freedom and responsibility.
-
B.
Anne Mulcahy
Anne Mulcahy is an American business executive best known for leading Xerox Corporation’s turnaround as its CEO and chairwoman in the early 2000s.
-
C.
Ginni Rometty
Ginni Rometty is an American business executive best known for serving as the first female CEO of IBM, where she led the company’s strategic shift toward cloud computing and artificial intelligence.
-
D.
Linda Gelsinger
Linda Gelsinger is the wife of Intel CEO Pat Gelsinger and is known for her involvement in Christian ministry and family-focused activities alongside her husband.
-
E.
Diane Greene
Diane Greene is a prominent American technology executive and entrepreneur best known as a co-founder and former CEO of VMware and a former CEO of Google Cloud.
- 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: Meg Whitman Target entity description: Meg Whitman is an American business executive best known for leading eBay’s rapid growth as CEO and later serving as CEO of Hewlett Packard Enterprise and U.S. Ambassador to Kenya.
-
A.
Patty McCord
Patty McCord is a human resources executive and author best known as Netflix’s former Chief Talent Officer and co-creator of its influential “culture deck” on freedom and responsibility.
-
B.
Anne Mulcahy
Anne Mulcahy is an American business executive best known for leading Xerox Corporation’s turnaround as its CEO and chairwoman in the early 2000s.
-
C.
Ginni Rometty
Ginni Rometty is an American business executive best known for serving as the first female CEO of IBM, where she led the company’s strategic shift toward cloud computing and artificial intelligence.
-
D.
Linda Gelsinger
Linda Gelsinger is the wife of Intel CEO Pat Gelsinger and is known for her involvement in Christian ministry and family-focused activities alongside her husband.
-
E.
Diane Greene
Diane Greene is a prominent American technology executive and entrepreneur best known as a co-founder and former CEO of VMware and a former CEO of Google Cloud.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
business executive
ⓘ
chief executive officer ⓘ diplomat ⓘ human ⓘ politician ⓘ |
| academicDegree |
Bachelor of Arts in Economics
ⓘ
Master of Business Administration ⓘ |
| appointedBy | Joe Biden ⓘ |
| birthName | Margaret Cushing Whitman ⓘ |
| boardMemberOf |
General Motors
ⓘ
HP Inc. ⓘ
linked to:
HP
Procter & Gamble ⓘ The Walt Disney Company ⓘ |
| countryOfCitizenship | United States of America ⓘ |
| dateOfBirth | 1956-08-04 ⓘ |
| educatedAt |
Harvard Business School
ⓘ
Princeton University ⓘ |
| employer |
DreamWorks SKG
ⓘ
linked to:
DreamWorks Pictures
Hasbro ⓘ Hewlett Packard Enterprise ⓘ Hewlett-Packard Company ⓘ
linked to:
Hewlett-Packard
Procter & Gamble ⓘ Quibi ⓘ The Walt Disney Company ⓘ eBay ⓘ |
| familyName | Whitman ⓘ |
| fieldOfWork |
business management
ⓘ
e-commerce ⓘ technology industry ⓘ |
| givenName | Margaret ⓘ |
| memberOfPoliticalParty |
Republican Party (United States)
ⓘ
linked to:
Republican Party
|
| name | Meg Whitman ⓘ |
| nationality | American ⓘ |
| notableWork | Led eBay’s rapid growth from small startup to major e-commerce company ⓘ |
| numberOfChildren | 2 ⓘ |
| officeContested | Governor of California ⓘ |
| placeOfBirth |
Cold Spring Harbor, New York, United States
ⓘ
linked to:
Cold Spring Harbor, New York
|
| positionHeld |
Chief Executive Officer of Quibi
ⓘ
President and CEO of Hewlett Packard Enterprise ⓘ President and CEO of Hewlett-Packard Company ⓘ President and CEO of eBay ⓘ Republican candidate for Governor of California ⓘ U.S. Ambassador to Kenya ⓘ
linked to:
United States ambassador to Kenya
|
| residence | California, United States ⓘ |
| sexOrGender | female ⓘ |
| spouse | Griffith Harsh ⓘ |
| startTime | 2022-08-05 ⓘ |
| workLocation | San Jose, California, 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: Meg Whitman Description of subject: Meg Whitman is an American business executive best known for leading eBay’s rapid growth as CEO and later serving as CEO of Hewlett Packard Enterprise and U.S. Ambassador to Kenya.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.