Office of Data Science
E39115
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.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Office of Data Science canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T303392 — 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: Office of Data Science Context triple: [Division of Economic and Risk Analysis, hasPart, Office of Data Science]
-
A.
Directorate of Analysis
The Directorate of Analysis is the Central Intelligence Agency’s primary unit responsible for evaluating intelligence information and producing assessments to inform U.S. national security decision-making.
-
B.
Directorate of Digital Innovation
The Directorate of Digital Innovation is a branch of the CIA responsible for advancing and integrating cutting-edge digital, cyber, and data capabilities into U.S. intelligence operations.
-
C.
Office of Science
The Office of Science is the U.S. Department of Energy’s primary scientific research arm, funding and managing fundamental research and national laboratories in fields such as physics, energy, and environmental science.
-
D.
Open Data Lab
Open Data Lab is a World Wide Web Foundation initiative that supports the use of open data to drive social impact, innovation, and better governance, particularly in developing countries.
-
E.
Statistical Research Center
The Statistical Research Center is a unit of the American Institute of Physics that conducts and disseminates data-driven studies on education, employment, and demographics in the physical sciences community.
- 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: Office of Data Science Target entity description: 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.
-
A.
Directorate of Analysis
The Directorate of Analysis is the Central Intelligence Agency’s primary unit responsible for evaluating intelligence information and producing assessments to inform U.S. national security decision-making.
-
B.
Directorate of Digital Innovation
The Directorate of Digital Innovation is a branch of the CIA responsible for advancing and integrating cutting-edge digital, cyber, and data capabilities into U.S. intelligence operations.
-
C.
Office of Science
The Office of Science is the U.S. Department of Energy’s primary scientific research arm, funding and managing fundamental research and national laboratories in fields such as physics, energy, and environmental science.
-
D.
Open Data Lab
Open Data Lab is a World Wide Web Foundation initiative that supports the use of open data to drive social impact, innovation, and better governance, particularly in developing countries.
-
E.
Statistical Research Center
The Statistical Research Center is a unit of the American Institute of Physics that conducts and disseminates data-driven studies on education, employment, and demographics in the physical sciences community.
- F. None of above. chosen
Statements (39)
| Predicate | Object |
|---|---|
| instanceOf |
government office
ⓘ
specialized unit ⓘ |
| applies |
advanced data analytics
ⓘ
quantitative methods ⓘ |
| country |
United States of America
ⓘ
surface form:
United States
|
| domain |
capital markets
ⓘ
financial markets ⓘ securities markets ⓘ |
| employer |
data scientists
ⓘ
economists ⓘ quantitative analysts ⓘ |
| focusesOn |
analytics
ⓘ
data science ⓘ data-driven decision making ⓘ |
| goal |
enhance risk assessment capabilities
ⓘ
improve quality of economic analysis at the U.S. Securities and Exchange Commission ⓘ support evidence-based policymaking ⓘ |
| partOf |
Securities and Exchange Commission
ⓘ
surface form:
U.S. Securities and Exchange Commission
|
| sector | financial regulation ⓘ |
| supports |
economic analysis at the U.S. Securities and Exchange Commission
ⓘ
policy analysis at the U.S. Securities and Exchange Commission ⓘ risk analysis at the U.S. Securities and Exchange Commission ⓘ |
| supportsOrganizationFunction |
impact assessment
ⓘ
market surveillance ⓘ policy development ⓘ regulatory oversight ⓘ risk monitoring ⓘ rulemaking analysis ⓘ |
| supportsStakeholder |
Securities and Exchange Commission
ⓘ
surface form:
SEC commissioners
SEC divisions and offices ⓘ policy staff ⓘ risk and surveillance teams ⓘ |
| usesData |
enforcement and examination data
ⓘ
market data ⓘ regulatory filings data ⓘ trading data ⓘ |
| usesMethod |
econometrics
ⓘ
machine learning ⓘ statistical modeling ⓘ |
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: Office of Data Science Description of subject: 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.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.