Brian C. Cornell
E689409
Brian C. Cornell is an American business executive best known as the chairman and chief executive officer of Target Corporation.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Brian C. Cornell canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T7422505 — 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: Brian C. Cornell Context triple: [Target Corporation, hasKeyPerson, Brian C. Cornell]
-
A.
Stephen M. Kellen
Stephen M. Kellen was a prominent financier and philanthropist known for his leadership at Arnhold and S. Bleichroeder and his significant support of cultural and educational institutions.
-
B.
Craig A. Stough
Craig A. Stough is an American local government leader who serves as the mayor of Sylvania, Ohio.
-
C.
Sean S. Cunningham
Sean S. Cunningham is an American film director and producer best known for creating and directing the influential horror classic "Friday the 13th."
-
D.
Matthew H. Carpenter
Matthew H. Carpenter was a 19th-century American lawyer and Republican politician from Wisconsin who served as a U.S. Senator and was known for his influential role in Reconstruction-era legal and constitutional debates.
-
E.
Michael T. Williamson
Michael T. Williamson is an American actor best known for his role as Benjamin Buford "Bubba" Blue in the film Forrest Gump.
- 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: Brian C. Cornell Target entity description: Brian C. Cornell is an American business executive best known as the chairman and chief executive officer of Target Corporation.
-
A.
Stephen M. Kellen
Stephen M. Kellen was a prominent financier and philanthropist known for his leadership at Arnhold and S. Bleichroeder and his significant support of cultural and educational institutions.
-
B.
Craig A. Stough
Craig A. Stough is an American local government leader who serves as the mayor of Sylvania, Ohio.
-
C.
Sean S. Cunningham
Sean S. Cunningham is an American film director and producer best known for creating and directing the influential horror classic "Friday the 13th."
-
D.
Matthew H. Carpenter
Matthew H. Carpenter was a 19th-century American lawyer and Republican politician from Wisconsin who served as a U.S. Senator and was known for his influential role in Reconstruction-era legal and constitutional debates.
-
E.
Michael T. Williamson
Michael T. Williamson is an American actor best known for his role as Benjamin Buford "Bubba" Blue in the film Forrest Gump.
- F. None of above. chosen
Statements (30)
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: Brian C. Cornell Description of subject: Brian C. Cornell is an American business executive best known as the chairman and chief executive officer of Target Corporation.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.