Michael Kagan
E306985
Michael Kagan is an Israeli technologist and entrepreneur best known as the co-founder and longtime chief technology officer of high-performance networking company Mellanox Technologies.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Michael Kagan canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T1893483 — 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: Michael Kagan Context triple: [Mellanox Technologies, foundedBy, Michael Kagan]
-
A.
Don Katz
Don Katz is an American entrepreneur and author best known as the founder of the audiobook and spoken-word entertainment company Audible.
-
B.
Mike Sokolsky
Mike Sokolsky is a co-founder of the online education platform Udacity, known for its technology-focused courses and nanodegree programs.
-
C.
Michael Gelman
Michael Gelman is a longtime American television producer best known for his work shaping and overseeing the daytime talk show "Live!" through its various host pairings.
-
D.
Andrew Rabinovich
Andrew Rabinovich is a computer scientist and researcher known for his contributions to computer vision and deep learning, including influential work at Google.
-
E.
Michael Rotenberg
Michael Rotenberg is a television producer and manager best known for his work on popular comedy series including It's Always Sunny in Philadelphia.
- 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: Michael Kagan Target entity description: Michael Kagan is an Israeli technologist and entrepreneur best known as the co-founder and longtime chief technology officer of high-performance networking company Mellanox Technologies.
-
A.
Don Katz
Don Katz is an American entrepreneur and author best known as the founder of the audiobook and spoken-word entertainment company Audible.
-
B.
Mike Sokolsky
Mike Sokolsky is a co-founder of the online education platform Udacity, known for its technology-focused courses and nanodegree programs.
-
C.
Michael Gelman
Michael Gelman is a longtime American television producer best known for his work shaping and overseeing the daytime talk show "Live!" through its various host pairings.
-
D.
Andrew Rabinovich
Andrew Rabinovich is a computer scientist and researcher known for his contributions to computer vision and deep learning, including influential work at Google.
-
E.
Michael Rotenberg
Michael Rotenberg is a television producer and manager best known for his work on popular comedy series including It's Always Sunny in Philadelphia.
- F. None of above. chosen
Statements (26)
| Predicate | Object |
|---|---|
| instanceOf |
business executive
ⓘ
entrepreneur ⓘ person ⓘ technologist ⓘ |
| basedIn | Israel ⓘ |
| coFounded | Mellanox Technologies ⓘ |
| countryOfCitizenship | Israel ⓘ |
| educatedAt | Technion – Israel Institute of Technology ⓘ |
| employer | Mellanox Technologies ⓘ |
| fieldOfStudy |
computer engineering
ⓘ
electrical engineering ⓘ |
| fieldOfWork |
computer networking
ⓘ
data center networking ⓘ high-performance computing ⓘ |
| hasRole | technology leadership at Mellanox Technologies ⓘ |
| industry |
high-performance computing industry
ⓘ
networking hardware ⓘ semiconductors ⓘ |
| knownFor |
Mellanox Technologies
ⓘ
high-performance networking technologies ⓘ |
| nationality | Israeli ⓘ |
| notableWork |
InfiniBand
ⓘ
surface form:
InfiniBand networking technologies
design of high-speed interconnects ⓘ |
| occupation |
chief technology officer
ⓘ
computer engineer ⓘ |
| positionHeld | Chief Technology Officer of Mellanox Technologies ⓘ |
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: Michael Kagan Description of subject: Michael Kagan is an Israeli technologist and entrepreneur best known as the co-founder and longtime chief technology officer of high-performance networking company Mellanox Technologies.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.