Department of Statistics and Data Science
E672682
The Department of Statistics and Data Science is an academic unit specializing in statistical theory, data analysis, and computational methods within Carnegie Mellon University's Dietrich College of Humanities and Social Sciences.
All labels observed (3)
How this entity was disambiguated
This entity first appeared as the object of triple T7558432 — 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: Department of Statistics and Data Science Context triple: [Dietrich College of Humanities and Social Sciences, hasDepartment, Department of Statistics and Data Science]
-
A.
Department of Statistical Science
The Department of Statistical Science is an academic unit specializing in statistics and data analysis within a broader mathematical and physical sciences faculty.
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B.
Department of Statistics
The Department of Statistics at the National University of Colombia (Bogotá) is an academic unit dedicated to teaching, research, and professional training in statistical science and its applications.
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C.
Department of Statistics
The Department of Statistics is an academic unit at Cairo University's Faculty of Commerce that specializes in teaching and research in statistical theory and its applications in business and economics.
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D.
Department of Statistics
The Department of Statistics at Presidency College, Kolkata is an academic unit specializing in teaching and research in statistical theory and its applications.
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E.
Department of Statistics
The Department of Statistics is an academic unit specializing in statistical theory, methods, and applications within the Physical Sciences Division.
- 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: Department of Statistics and Data Science Target entity description: The Department of Statistics and Data Science is an academic unit specializing in statistical theory, data analysis, and computational methods within Carnegie Mellon University's Dietrich College of Humanities and Social Sciences.
-
A.
Department of Statistical Science
The Department of Statistical Science is an academic unit specializing in statistics and data analysis within a broader mathematical and physical sciences faculty.
-
B.
Department of Statistics
The Department of Statistics at the National University of Colombia (Bogotá) is an academic unit dedicated to teaching, research, and professional training in statistical science and its applications.
-
C.
Department of Statistics
The Department of Statistics at Presidency College, Kolkata is an academic unit specializing in teaching and research in statistical theory and its applications.
-
D.
Department of Statistics
The Department of Statistics is an academic unit specializing in statistical theory, methods, and applications within the Physical Sciences Division.
-
E.
Department of Statistics
The Department of Statistics is an academic unit within Alexandria University's Faculty of Commerce that specializes in teaching and research in statistical theory and its applications in business and economics.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
academic department
ⓘ
statistics department ⓘ |
| academicDiscipline |
data science
ⓘ
statistics ⓘ |
| affiliation |
Carnegie Mellon University
NERFINISHED
ⓘ
Dietrich College of Humanities and Social Sciences NERFINISHED ⓘ |
| campus | Carnegie Mellon University main campus NERFINISHED ⓘ |
| city |
Pittsburgh, Pennsylvania
ⓘ
surface form:
Pittsburgh
|
| country |
United States of America
ⓘ
surface form:
United States
|
| focusesOn |
applied statistics
ⓘ
computational statistics ⓘ data analysis ⓘ data science ⓘ machine learning ⓘ probability ⓘ statistical computing ⓘ statistical theory ⓘ statistics ⓘ |
| hasUnit |
Data Science
ⓘ
Statistics ⓘ |
| languageOfInstruction | English ⓘ |
| locatedInOrganization | Carnegie Mellon University NERFINISHED ⓘ |
| name | Department of Statistics and Data Science NERFINISHED ⓘ |
| offersProgram |
PhD program in statistics
ⓘ
PhD program in statistics and data science ⓘ master’s program in data science ⓘ master’s program in statistics ⓘ undergraduate major in statistics ⓘ undergraduate major in statistics and data science ⓘ undergraduate major in statistics and machine learning ⓘ |
| parentOrganization |
Carnegie Mellon University
NERFINISHED
ⓘ
Dietrich College of Humanities and Social Sciences NERFINISHED ⓘ |
| region | North America ⓘ |
| researchArea |
Bayesian statistics
ⓘ
causal inference ⓘ computational methods for statistics ⓘ data visualization ⓘ high-dimensional statistics ⓘ statistical learning ⓘ statistical methodology ⓘ statistical theory ⓘ time series analysis ⓘ |
| sector | higher education ⓘ |
| shortName | CMU Statistics and Data Science NERFINISHED ⓘ |
| state | Pennsylvania ⓘ |
| website | https://www.stat.cmu.edu/ ⓘ |
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: Department of Statistics and Data Science Description of subject: The Department of Statistics and Data Science is an academic unit specializing in statistical theory, data analysis, and computational methods within Carnegie Mellon University's Dietrich College of Humanities and Social Sciences.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.
Dietrich College of Humanities and Social Sciences
→
hasDepartment
→
Department of Statistics and Data Science
ⓘ
Department of Mathematical Sciences
→
collaboratesWith
→
Department of Statistics and Data Science
ⓘ
subject surface form:
Department of Mathematical Sciences, Carnegie Mellon University
this entity surface form:
Department of Statistics and Data Science, Carnegie Mellon University
this entity surface form:
Department of Statistics and Data Sciences