Monica Shorter
E48873
Monica Shorter is a person notable enough to be recognized as a bearer of the surname Shorter.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Monica Shorter canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T383268 — 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: Monica Shorter Context triple: [Shorter, hasNotableBearer, Monica Shorter]
-
A.
Alicia Nash
Alicia Nash was a Salvadoran-American physicist and mental health advocate best known as the devoted wife of mathematician John Nash, whose life with him was portrayed in the film "A Beautiful Mind."
-
B.
Deborah Prentice
Deborah Prentice is an American social psychologist and academic leader known for her work on social norms and for serving as Vice-Chancellor of the University of Cambridge.
-
C.
Anna Beth Sully
Anna Beth Sully was the first wife of silent film star Douglas Fairbanks, whom she married before his rise to Hollywood fame.
-
D.
Julie Soriero
Julie Soriero is a collegiate athletics administrator best known for serving as the Director of Athletics at the Massachusetts Institute of Technology (MIT).
-
E.
Michelle LaVaughn Robinson
Michelle LaVaughn Robinson is the birth name of Michelle Obama, the American lawyer, author, and former First Lady of the United States.
- 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: Monica Shorter Target entity description: Monica Shorter is a person notable enough to be recognized as a bearer of the surname Shorter.
-
A.
Alicia Nash
Alicia Nash was a Salvadoran-American physicist and mental health advocate best known as the devoted wife of mathematician John Nash, whose life with him was portrayed in the film "A Beautiful Mind."
-
B.
Deborah Prentice
Deborah Prentice is an American social psychologist and academic leader known for her work on social norms and for serving as Vice-Chancellor of the University of Cambridge.
-
C.
Anna Beth Sully
Anna Beth Sully was the first wife of silent film star Douglas Fairbanks, whom she married before his rise to Hollywood fame.
-
D.
Julie Soriero
Julie Soriero is a collegiate athletics administrator best known for serving as the Director of Athletics at the Massachusetts Institute of Technology (MIT).
-
E.
Michelle LaVaughn Robinson
Michelle LaVaughn Robinson is the birth name of Michelle Obama, the American lawyer, author, and former First Lady of the United States.
- F. None of above. chosen
Statements (3)
| Predicate | Object |
|---|---|
| instanceOf | human ⓘ |
| hasSurname | Shorter ⓘ |
| name | Monica Shorter ⓘ |
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: Monica Shorter Description of subject: Monica Shorter is a person notable enough to be recognized as a bearer of the surname Shorter.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.