Kathryn Brunkow Sample
E603427
Kathryn Brunkow Sample is best known as the wife of the late Steven B. Sample, the longtime president of the University of Southern California.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Kathryn Brunkow Sample canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6590095 — 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: Kathryn Brunkow Sample Context triple: [Steven B. Sample, spouse, Kathryn Brunkow Sample]
-
A.
Kathryn Land
Kathryn Land is a fictional character appearing in the classic American film "Andy Hardy’s Private Secretary."
-
B.
Elizabeth Kolb
Elizabeth Kolb was the woman who served as the ceremonial sponsor for the U.S. Navy battleship USS Pennsylvania (BB-38) at its launching.
-
C.
Anna Kuhn
Anna Kuhn was the mother of Nobel Prize–winning theoretical physicist Hans Bethe.
-
D.
Sarah Brunsden
Sarah Brunsden was the wife of Sir John Copley, a British legal figure who served as Lord Chancellor in the early 19th century.
-
E.
Kathryn
Kathryn is a feminine given name, commonly considered a variant spelling of Katherine/Catherine.
- 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: Kathryn Brunkow Sample Target entity description: Kathryn Brunkow Sample is best known as the wife of the late Steven B. Sample, the longtime president of the University of Southern California.
-
A.
Kathryn Land
Kathryn Land is a fictional character appearing in the classic American film "Andy Hardy’s Private Secretary."
-
B.
Elizabeth Kolb
Elizabeth Kolb was the woman who served as the ceremonial sponsor for the U.S. Navy battleship USS Pennsylvania (BB-38) at its launching.
-
C.
Anna Kuhn
Anna Kuhn was the mother of Nobel Prize–winning theoretical physicist Hans Bethe.
-
D.
Sarah Brunsden
Sarah Brunsden was the wife of Sir John Copley, a British legal figure who served as Lord Chancellor in the early 19th century.
-
E.
Kathryn
Kathryn is a feminine given name, commonly considered a variant spelling of Katherine/Catherine.
- F. None of above. chosen
Statements (8)
| Predicate | Object |
|---|---|
| instanceOf | human ⓘ |
| associatedWith | University of Southern California NERFINISHED ⓘ |
| employer | University of Southern California NERFINISHED ⓘ |
| notableFor | being the wife of Steven B. Sample ⓘ |
| positionHeld | president of the University of Southern California ⓘ |
| spouse |
Kathryn Brunkow Sample
NERFINISHED
ⓘ
Steven B. Sample NERFINISHED ⓘ |
| spouseOfOccupation | university president ⓘ |
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: Kathryn Brunkow Sample Description of subject: Kathryn Brunkow Sample is best known as the wife of the late Steven B. Sample, the longtime president of the University of Southern California.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.