Paula Braun
E389063
Paula Braun is an American health IT and data science expert known for her work modernizing public health surveillance and analytics, including at the U.S. Centers for Disease Control and Prevention (CDC).
All labels observed (1)
| Label | Occurrences |
|---|---|
| Paula Braun canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3219666 — 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: Paula Braun Context triple: [Braun, hasNotableBearer, Paula Braun]
-
A.
Ellen Benrath
Ellen Benrath is known primarily as the wife of German actor Martin Benrath.
-
B.
June Preisser
June Preisser was an American film actress and dancer best known for her energetic supporting roles in 1930s and 1940s Hollywood musicals, often playing peppy, acrobatic teenagers.
-
C.
Fern Kraemer
Fern Kraemer was a party to the landmark U.S. Supreme Court case Shelley v. Kraemer, which held that courts could not enforce racially restrictive housing covenants.
-
D.
Paula Wagner
Paula Wagner is an American film producer and former talent agent best known for her longtime collaboration with Tom Cruise and co-founding Cruise/Wagner Productions.
-
E.
Anna Kuhn
Anna Kuhn was the mother of Nobel Prize–winning theoretical physicist Hans Bethe.
- 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: Paula Braun Target entity description: Paula Braun is an American health IT and data science expert known for her work modernizing public health surveillance and analytics, including at the U.S. Centers for Disease Control and Prevention (CDC).
-
A.
Ellen Benrath
Ellen Benrath is known primarily as the wife of German actor Martin Benrath.
-
B.
June Preisser
June Preisser was an American film actress and dancer best known for her energetic supporting roles in 1930s and 1940s Hollywood musicals, often playing peppy, acrobatic teenagers.
-
C.
Fern Kraemer
Fern Kraemer was a party to the landmark U.S. Supreme Court case Shelley v. Kraemer, which held that courts could not enforce racially restrictive housing covenants.
-
D.
Paula Wagner
Paula Wagner is an American film producer and former talent agent best known for her longtime collaboration with Tom Cruise and co-founding Cruise/Wagner Productions.
-
E.
Anna Kuhn
Anna Kuhn was the mother of Nobel Prize–winning theoretical physicist Hans Bethe.
- F. None of above. chosen
Statements (28)
| Predicate | Object |
|---|---|
| instanceOf |
American
ⓘ
data scientist ⓘ health informatics expert ⓘ person ⓘ public health professional ⓘ |
| affiliation |
Centers for Disease Control and Prevention
ⓘ
surface form:
U.S. Centers for Disease Control and Prevention
|
| countryOfCitizenship | United States of America ⓘ |
| employer |
CDC
ⓘ
Centers for Disease Control and Prevention ⓘ
surface form:
U.S. Centers for Disease Control and Prevention
|
| fieldOfWork |
data science
ⓘ
health information technology ⓘ public health analytics ⓘ public health surveillance ⓘ |
| hasExpertise |
applied data science in government
ⓘ
epidemiologic data analysis ⓘ health data interoperability ⓘ surveillance system modernization ⓘ |
| languageOfWorkOrName | English ⓘ |
| notableFor |
advancing data science in public health practice
ⓘ
improving public health analytics at CDC ⓘ modernizing public health surveillance systems ⓘ |
| occupation |
data scientist
ⓘ
health IT expert ⓘ public health informatics specialist ⓘ |
| sector |
government health agency
ⓘ
public health ⓘ |
| workLocation |
Atlanta
ⓘ
surface form:
Atlanta, Georgia
|
| worksOn | modernization of public health surveillance and analytics at CDC ⓘ |
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: Paula Braun Description of subject: Paula Braun is an American health IT and data science expert known for her work modernizing public health surveillance and analytics, including at the U.S. Centers for Disease Control and Prevention (CDC).
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.