FactSet
E436444
FactSet is a financial data and analytics platform widely used by investment professionals for market data, research, and portfolio analysis.
All labels observed (8)
| Label | Occurrences |
|---|---|
| FactSet canonical | 4 |
| FactSet APIs | 1 |
| FactSet Data Feeds | 1 |
| FactSet Portfolio Analytics | 1 |
| FactSet Research Management Solutions | 1 |
| FactSet Risk | 1 |
| FactSet Workstation | 1 |
| FactSet: WFC-US | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T4382593 — 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: FactSet Context triple: [Bloomberg Terminal, competitiveWith, FactSet]
-
A.
Nasdaq Data Link
Nasdaq Data Link is a financial data platform that provides access to a wide range of market, economic, and alternative datasets via APIs and tools for investors, analysts, and developers.
-
B.
Thomson Reuters
Thomson Reuters is a multinational media and information services company best known for providing news, legal, financial, and business information to professionals worldwide.
-
C.
EDGAR
EDGAR is the U.S. Securities and Exchange Commission’s electronic filing system that provides public access to corporate financial and disclosure documents.
-
D.
Bloomberg Terminal
Bloomberg Terminal is a proprietary computer software system that provides real-time financial data, news, analytics, and trading tools widely used by professionals in global markets.
-
E.
S&P Global 1200
The S&P Global 1200 is a broad, multinational equity index designed to represent the performance of major stock markets around the world.
- 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: FactSet Target entity description: FactSet is a financial data and analytics platform widely used by investment professionals for market data, research, and portfolio analysis.
-
A.
Nasdaq Data Link
Nasdaq Data Link is a financial data platform that provides access to a wide range of market, economic, and alternative datasets via APIs and tools for investors, analysts, and developers.
-
B.
Thomson Reuters
Thomson Reuters is a multinational media and information services company best known for providing news, legal, financial, and business information to professionals worldwide.
-
C.
EDGAR
EDGAR is the U.S. Securities and Exchange Commission’s electronic filing system that provides public access to corporate financial and disclosure documents.
-
D.
Bloomberg Terminal
Bloomberg Terminal is a proprietary computer software system that provides real-time financial data, news, analytics, and trading tools widely used by professionals in global markets.
-
E.
S&P Global 1200
The S&P Global 1200 is a broad, multinational equity index designed to represent the performance of major stock markets around the world.
- F. None of above. chosen
Statements (60)
| Predicate | Object |
|---|---|
| instanceOf |
financial data and analytics company
ⓘ
public company ⓘ software provider ⓘ |
| country |
United States
ⓘ
linked to:
United States of America
|
| currencyOfStockListing |
USD
ⓘ
linked to:
US dollar
|
| foundedBy |
Charles Snyder
ⓘ
Howard Wille ⓘ |
| hasClientBase | global ⓘ |
| hasOfficeIn |
Boston
ⓘ
Chicago ⓘ Frankfurt ⓘ
linked to:
Frankfurt am Main
Hong Kong ⓘ
linked to:
Hong Kong, China
London ⓘ
linked to:
London, England
New York City ⓘ Paris ⓘ San Francisco ⓘ Sydney ⓘ Tokyo ⓘ |
| headquartersLocation | Norwalk, Connecticut, United States ⓘ |
| inception | 1978 ⓘ |
| industry |
analytics software
ⓘ
financial data ⓘ financial services ⓘ investment research ⓘ |
| offers |
application programming interfaces
ⓘ
data feeds ⓘ financial market data ⓘ performance measurement tools ⓘ portfolio analytics ⓘ quantitative research tools ⓘ research management solutions ⓘ risk analytics ⓘ workflow solutions for investment professionals ⓘ |
| product |
FactSet APIs
ⓘ
linked to:
FactSet
FactSet Data Feeds ⓘ
linked to:
FactSet
FactSet Portfolio Analytics ⓘ
linked to:
FactSet
FactSet Research Management Solutions ⓘ
linked to:
FactSet
FactSet Risk ⓘ
linked to:
FactSet
FactSet Workstation ⓘ
linked to:
FactSet
|
| provides |
company fundamentals
ⓘ
estimates data ⓘ fixed income analytics ⓘ historical financial data ⓘ multi-asset class analytics ⓘ ownership data ⓘ real-time market data ⓘ |
| serves |
asset managers
ⓘ
corporate finance professionals ⓘ hedge funds ⓘ investment banks ⓘ private equity firms ⓘ risk managers ⓘ wealth managers ⓘ |
| stockExchange | New York Stock Exchange ⓘ |
| targetUser |
portfolio managers
ⓘ
quantitative analysts ⓘ research analysts ⓘ risk analysts ⓘ traders ⓘ |
| tickerSymbol | FDS ⓘ |
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: FactSet Description of subject: FactSet is a financial data and analytics platform widely used by investment professionals for market data, research, and portfolio analysis.
Referenced by (11)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: FactSet