Michael Magranet
E176104
Michael Magranet is an entrepreneur best known as a founder of the technology company Altera.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Michael Magranet canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1499745 — 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 Magranet Context triple: [Altera, foundedBy, Michael Magranet]
-
A.
Dan Iassogna
Dan Iassogna is a veteran Major League Baseball umpire who has officiated numerous postseason games, including serving as crew chief in the World Series.
-
B.
Dante Spinotti
Dante Spinotti is an acclaimed Italian cinematographer known for his visually distinctive work on films such as Heat, L.A. Confidential, and The Insider.
-
C.
Jack Mara
Jack Mara is a co-owner of the New York Giants NFL franchise and a member of the Mara family, long associated with the team's ownership and management.
-
D.
Matthias Bartoli
Matthias Bartoli is a linguist known for his work documenting and studying the now-extinct Dalmatian language.
-
E.
Chris Brancato
Chris Brancato is an American television writer and producer best known for his work on crime dramas, including co-creating the acclaimed Netflix series "Narcos."
- 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 Magranet Target entity description: Michael Magranet is an entrepreneur best known as a founder of the technology company Altera.
-
A.
Dan Iassogna
Dan Iassogna is a veteran Major League Baseball umpire who has officiated numerous postseason games, including serving as crew chief in the World Series.
-
B.
Dante Spinotti
Dante Spinotti is an acclaimed Italian cinematographer known for his visually distinctive work on films such as Heat, L.A. Confidential, and The Insider.
-
C.
Jack Mara
Jack Mara is a co-owner of the New York Giants NFL franchise and a member of the Mara family, long associated with the team's ownership and management.
-
D.
Matthias Bartoli
Matthias Bartoli is a linguist known for his work documenting and studying the now-extinct Dalmatian language.
-
E.
Chris Brancato
Chris Brancato is an American television writer and producer best known for his work on crime dramas, including co-creating the acclaimed Netflix series "Narcos."
- F. None of above. chosen
Statements (7)
| Predicate | Object |
|---|---|
| instanceOf |
businessperson
ⓘ
entrepreneur ⓘ technology company ⓘ |
| hasRole | company founder ⓘ |
| knownFor | founding Altera ⓘ |
| notableWork | Altera ⓘ |
| occupation | entrepreneur ⓘ |
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 Magranet Description of subject: Michael Magranet is an entrepreneur best known as a founder of the technology company Altera.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.