Matt Madalon
E371590
Matt Madalon is an American lacrosse coach best known for leading the Princeton University men's lacrosse program.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Matt Madalon canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3587950 — 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: Matt Madalon Context triple: [Princeton Tigers men’s lacrosse, headCoach, Matt Madalon]
-
A.
Matthew Aldrich
Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
-
B.
Matthew Mottola
Matthew Mottola is the son of music executive Tommy Mottola.
-
C.
Paul Cantelon
Paul Cantelon is an American composer and multi-instrumentalist known for his film scores and work blending classical, jazz, and world music influences.
-
D.
Matthew Freund
Matthew Freund is a film editor known for his work on the comedy movie "Fist Fight."
-
E.
Matt Chesse
Matt Chesse is an American film editor known for his work on numerous feature films, including the thriller "Money Monster."
- 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: Matt Madalon Target entity description: Matt Madalon is an American lacrosse coach best known for leading the Princeton University men's lacrosse program.
-
A.
Matthew Aldrich
Matthew Aldrich is an American screenwriter best known for co-writing Pixar’s Academy Award–winning animated film "Coco."
-
B.
Matthew Mottola
Matthew Mottola is the son of music executive Tommy Mottola.
-
C.
Paul Cantelon
Paul Cantelon is an American composer and multi-instrumentalist known for his film scores and work blending classical, jazz, and world music influences.
-
D.
Matthew Freund
Matthew Freund is a film editor known for his work on the comedy movie "Fist Fight."
-
E.
Matt Chesse
Matt Chesse is an American film editor known for his work on numerous feature films, including the thriller "Money Monster."
- F. None of above. chosen
Statements (12)
| Predicate | Object |
|---|---|
| instanceOf |
American lacrosse coach
ⓘ
human ⓘ lacrosse coach ⓘ |
| employer | Princeton University ⓘ |
| fieldOfWork | lacrosse ⓘ |
| gender | male ⓘ |
| nationality | United States of America ⓘ |
| notableFor | leading the Princeton University men's lacrosse program ⓘ |
| occupation | lacrosse coach ⓘ |
| sportCoached | lacrosse ⓘ |
| teamCoached |
Princeton Tigers men's lacrosse
ⓘ
linked to:
Princeton Tigers men’s lacrosse
|
| workLocation |
Princeton, New Jersey
ⓘ
linked to:
Princeton, New Jersey, 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: Matt Madalon Description of subject: Matt Madalon is an American lacrosse coach best known for leading the Princeton University men's lacrosse program.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.