Department of Data Sciences and Operations
E670137
The Department of Data Sciences and Operations is an academic unit at the USC Marshall School of Business that focuses on research and education in data analytics, statistics, information systems, and operations management.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Department of Data Sciences and Operations canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7520717 — 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 Data Sciences and Operations Context triple: [USC Marshall School of Business, hasDepartment, Department of Data Sciences and Operations]
-
A.
Department of Operations Research and Statistics
The Department of Operations Research and Statistics is an academic unit specializing in quantitative decision-making, optimization, and statistical analysis within the Faculty of Organizational Sciences at the University of Belgrade.
-
B.
Department of Business Analytics and Statistics
The Department of Business Analytics and Statistics is an academic unit specializing in data-driven decision-making, statistical analysis, and analytics education and research within the Haslam College of Business.
-
C.
Department of Information Systems and Analytics
The Department of Information Systems and Analytics is an academic unit specializing in data-driven decision-making, information technology, and business analytics within the Leavey School of Business.
-
D.
Office of Data Science
The Office of Data Science is a specialized unit that applies advanced data analytics and quantitative methods to support the U.S. Securities and Exchange Commission’s economic, risk, and policy analysis.
-
E.
Information Systems and Decision Sciences Department
The Information Systems and Decision Sciences Department is an academic unit specializing in information technology, analytics, and data-driven decision-making within the Muma College of Business.
- 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 Data Sciences and Operations Target entity description: The Department of Data Sciences and Operations is an academic unit at the USC Marshall School of Business that focuses on research and education in data analytics, statistics, information systems, and operations management.
-
A.
Department of Operations Research and Statistics
The Department of Operations Research and Statistics is an academic unit specializing in quantitative decision-making, optimization, and statistical analysis within the Faculty of Organizational Sciences at the University of Belgrade.
-
B.
Department of Business Analytics and Statistics
The Department of Business Analytics and Statistics is an academic unit specializing in data-driven decision-making, statistical analysis, and analytics education and research within the Haslam College of Business.
-
C.
Department of Information Systems and Analytics
The Department of Information Systems and Analytics is an academic unit specializing in data-driven decision-making, information technology, and business analytics within the Leavey School of Business.
-
D.
Office of Data Science
The Office of Data Science is a specialized unit that applies advanced data analytics and quantitative methods to support the U.S. Securities and Exchange Commission’s economic, risk, and policy analysis.
-
E.
Information Systems and Decision Sciences Department
The Information Systems and Decision Sciences Department is an academic unit specializing in information technology, analytics, and data-driven decision-making within the Muma College of Business.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf | academic department ⓘ |
| academicDiscipline |
business
ⓘ
data science ⓘ operations ⓘ |
| affiliatedWith | University of Southern California NERFINISHED ⓘ |
| campus | USC University Park Campus NERFINISHED ⓘ |
| collaboratesWith |
industry partners
ⓘ
other USC departments ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| employs |
faculty members
ⓘ
research staff ⓘ |
| fieldOfWork |
business analytics
ⓘ
data analytics ⓘ decision sciences ⓘ information systems ⓘ management science ⓘ operations management ⓘ operations research ⓘ statistics ⓘ supply chain management ⓘ |
| focusesOn |
business intelligence
ⓘ
data-driven decision making ⓘ education ⓘ optimization ⓘ predictive analytics ⓘ process improvement ⓘ quantitative methods ⓘ research ⓘ |
| hasRole |
industry collaboration
ⓘ
research ⓘ teaching ⓘ |
| languageOfWork | English ⓘ |
| locatedIn |
California, United States
ⓘ
surface form:
California
Los Angeles ⓘ |
| mission | advance knowledge in data sciences and operations for business applications ⓘ |
| offers |
doctoral courses
ⓘ
elective courses for MBA programs ⓘ elective courses for specialized master’s programs ⓘ graduate courses ⓘ undergraduate courses ⓘ |
| partOf |
USC Marshall School of Business
NERFINISHED
ⓘ
USC Marshall graduate programs ⓘ USC Marshall undergraduate programs ⓘ |
| sector | higher education ⓘ |
| typeOfOrganization | non-profit academic unit ⓘ |
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 Data Sciences and Operations Description of subject: The Department of Data Sciences and Operations is an academic unit at the USC Marshall School of Business that focuses on research and education in data analytics, statistics, information systems, and operations management.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.