Ted Schlein
E832773
Ted Schlein is a prominent American venture capitalist and technology investor known for his long tenure at Kleiner Perkins and his focus on cybersecurity and enterprise software companies.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Ted Schlein canonical | 1 |
Statements (29)
| Predicate | Object |
|---|---|
| instanceOf |
person
ⓘ
technology investor ⓘ venture capitalist ⓘ |
| boardMemberOf | various technology companies ⓘ |
| countryOfCitizenship | United States of America ⓘ |
| educatedAt |
University of Pennsylvania
ⓘ
Wharton School of the University of Pennsylvania NERFINISHED ⓘ |
| employer | Kleiner Perkins NERFINISHED ⓘ |
| fieldOfWork |
cybersecurity
ⓘ
enterprise software ⓘ information technology ⓘ |
| hasActivity | technology entrepreneurship mentoring ⓘ |
| hasGender | male ⓘ |
| industry |
technology investing
ⓘ
venture capital ⓘ |
| knownFor |
long tenure at Kleiner Perkins
ⓘ
supporting early-stage security companies ⓘ |
| languageSpoken | English ⓘ |
| memberOf | Kleiner Perkins NERFINISHED ⓘ |
| notableFor |
investments in cybersecurity companies
ⓘ
investments in enterprise software companies ⓘ leadership at Kleiner Perkins ⓘ |
| notableRole | early investor in cybersecurity startups ⓘ |
| occupation |
businessperson
ⓘ
investor ⓘ venture capitalist ⓘ |
| positionHeld | general partner at Kleiner Perkins NERFINISHED ⓘ |
| residence |
California, United States
ⓘ
surface form:
California
|
| workLocation | Silicon Valley 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: Ted Schlein Description of subject: Ted Schlein is a prominent American venture capitalist and technology investor known for his long tenure at Kleiner Perkins and his focus on cybersecurity and enterprise software companies.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.