Fred Mosteller
E203108
Fred Mosteller was an influential American statistician and educator known for his pioneering work in mathematical statistics, statistics education, and applications of statistics to public policy and medicine.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Frederick Mosteller | 3 |
| Fred Mosteller canonical | 1 |
| Mosteller | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1797131 — 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: Fred Mosteller Context triple: [Persi Diaconis, doctoralAdvisor, Fred Mosteller]
-
A.
John W. Tukey
John W. Tukey was an influential American mathematician and statistician best known for coining the term "bit," developing exploratory data analysis, and creating the box plot and the Fast Fourier Transform (FFT) algorithm.
-
B.
Dennis Michie
Dennis Michie was a U.S. Army officer and early football coach at West Point who is honored as the namesake of the United States Military Academy’s Michie Stadium.
-
C.
Kenneth C. Royall
Kenneth C. Royall was an American lawyer, military officer, and politician who served as the last U.S. Secretary of War before becoming the first Secretary of the Army.
-
D.
Solomon Kullback
Solomon Kullback was an American statistician and cryptanalyst best known for co-developing the Kullback–Leibler divergence, a fundamental concept in information theory and statistics.
-
E.
Warren Weaver
Warren Weaver was an American scientist, mathematician, and science administrator known for his influential work in communication theory and for helping popularize Claude Shannon’s information theory.
- 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: Fred Mosteller Target entity description: Fred Mosteller was an influential American statistician and educator known for his pioneering work in mathematical statistics, statistics education, and applications of statistics to public policy and medicine.
-
A.
John W. Tukey
John W. Tukey was an influential American mathematician and statistician best known for coining the term "bit," developing exploratory data analysis, and creating the box plot and the Fast Fourier Transform (FFT) algorithm.
-
B.
Dennis Michie
Dennis Michie was a U.S. Army officer and early football coach at West Point who is honored as the namesake of the United States Military Academy’s Michie Stadium.
-
C.
Kenneth C. Royall
Kenneth C. Royall was an American lawyer, military officer, and politician who served as the last U.S. Secretary of War before becoming the first Secretary of the Army.
-
D.
Solomon Kullback
Solomon Kullback was an American statistician and cryptanalyst best known for co-developing the Kullback–Leibler divergence, a fundamental concept in information theory and statistics.
-
E.
Warren Weaver
Warren Weaver was an American scientist, mathematician, and science administrator known for his influential work in communication theory and for helping popularize Claude Shannon’s information theory.
- F. None of above. chosen
Statements (36)
| Predicate | Object |
|---|---|
| instanceOf |
educator
ⓘ
human ⓘ statistician ⓘ |
| countryOfCitizenship | United States of America ⓘ |
| employer |
Harvard Department of Statistics
ⓘ
Harvard School of Public Health ⓘ
linked to:
Harvard T.H. Chan School of Public Health
Harvard University ⓘ |
| familyName |
Mosteller
ⓘ
linked to:
Fred Mosteller
|
| fieldOfWork |
applied statistics
ⓘ
biostatistics ⓘ mathematical statistics ⓘ medicine ⓘ public policy ⓘ statistics ⓘ statistics education ⓘ |
| givenName | Frederick ⓘ |
| influenced |
development of statistics education in the United States
ⓘ
use of statistics in medicine ⓘ use of statistics in public policy ⓘ |
| languageOfWorkOrName | English ⓘ |
| name |
Frederick Mosteller
ⓘ
linked to:
Fred Mosteller
|
| notableFor |
being an influential American statistician
ⓘ
being an influential statistics educator ⓘ |
| notableWork |
applications of statistics to medicine
ⓘ
applications of statistics to public policy ⓘ contributions to biostatistics ⓘ contributions to meta-analysis ⓘ contributions to statistical consulting ⓘ contributions to statistics in education research ⓘ contributions to statistics in public health ⓘ contributions to statistics in public policy analysis ⓘ pioneering work in mathematical statistics ⓘ pioneering work in statistics education ⓘ |
| occupation |
statistician
ⓘ
university professor ⓘ |
| positionHeld | chair of the Harvard Department of Statistics ⓘ |
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: Fred Mosteller Description of subject: Fred Mosteller was an influential American statistician and educator known for his pioneering work in mathematical statistics, statistics education, and applications of statistics to public policy and medicine.
Referenced by (5)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Fred Mosteller
linked to: Fred Mosteller
linked to: Fred Mosteller
linked to: Fred Mosteller