Catching the Wolf of Wall Street
E291092
Catching the Wolf of Wall Street is Jordan Belfort’s memoir detailing his downfall, legal troubles, and life after the events chronicled in his earlier book, The Wolf of Wall Street.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Catching the Wolf of Wall Street canonical | 4 |
How this entity was disambiguated
This entity first appeared as the object of triple T2658923 — 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: Catching the Wolf of Wall Street Context triple: [Jordan Belfort, notableWork, Catching the Wolf of Wall Street]
-
A.
The Wolf of Wall Street
The Wolf of Wall Street is a 2013 biographical black comedy film directed by Martin Scorsese that chronicles stockbroker Jordan Belfort’s rise and fall amid rampant Wall Street corruption and excess.
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B.
The Wolf of Wall Street (memoir)
"The Wolf of Wall Street" (memoir) is Jordan Belfort’s autobiographical account of his rise and fall as a stockbroker, detailing his high-flying lifestyle, financial crimes, and eventual downfall.
-
C.
Wall Street: Money Never Sleeps
Wall Street: Money Never Sleeps is a 2010 financial drama film and sequel to the 1987 movie "Wall Street," exploring themes of greed, redemption, and the 2008 economic crisis.
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D.
The Big Short
The Big Short is a 2015 biographical comedy-drama film about the 2007–2008 financial crisis, focusing on investors who bet against the U.S. housing market.
-
E.
All the Money in the World
All the Money in the World is a 2017 crime thriller film dramatizing the real-life 1973 kidnapping of John Paul Getty III and his billionaire grandfather’s notorious refusal to pay the ransom.
- 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: Catching the Wolf of Wall Street Target entity description: Catching the Wolf of Wall Street is Jordan Belfort’s memoir detailing his downfall, legal troubles, and life after the events chronicled in his earlier book, The Wolf of Wall Street.
-
A.
The Wolf of Wall Street
The Wolf of Wall Street is a 2013 biographical black comedy film directed by Martin Scorsese that chronicles stockbroker Jordan Belfort’s rise and fall amid rampant Wall Street corruption and excess.
-
B.
The Wolf of Wall Street (memoir)
"The Wolf of Wall Street" (memoir) is Jordan Belfort’s autobiographical account of his rise and fall as a stockbroker, detailing his high-flying lifestyle, financial crimes, and eventual downfall.
-
C.
Wall Street: Money Never Sleeps
Wall Street: Money Never Sleeps is a 2010 financial drama film and sequel to the 1987 movie "Wall Street," exploring themes of greed, redemption, and the 2008 economic crisis.
-
D.
The Big Short
The Big Short is a 2015 biographical comedy-drama film about the 2007–2008 financial crisis, focusing on investors who bet against the U.S. housing market.
-
E.
All the Money in the World
All the Money in the World is a 2017 crime thriller film dramatizing the real-life 1973 kidnapping of John Paul Getty III and his billionaire grandfather’s notorious refusal to pay the ransom.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
book
ⓘ
memoir ⓘ |
| about |
Stratton Oakmont
ⓘ
addiction recovery ⓘ family relationships ⓘ personal downfall ⓘ restitution to victims ⓘ stock market manipulation ⓘ |
| author | Jordan Belfort ⓘ |
| countryOfOrigin |
United States
ⓘ
linked to:
United States of America
|
| describes |
aftermath of The Wolf of Wall Street events
ⓘ
cooperation with federal investigators ⓘ financial restitution obligations ⓘ legal prosecution of Jordan Belfort ⓘ transition to motivational speaking ⓘ |
| follows | The Wolf of Wall Street ⓘ |
| genre |
autobiography
ⓘ
non-fiction ⓘ |
| hasPart |
accounts of FBI investigation
ⓘ
accounts of cooperation with authorities ⓘ accounts of plea bargaining ⓘ accounts of prison life ⓘ post-release speaking career ⓘ reflections on past excesses ⓘ |
| language | English ⓘ |
| literaryForm | prose ⓘ |
| mainSubject |
Jordan Belfort
ⓘ
consequences of white-collar crime ⓘ financial crime ⓘ imprisonment ⓘ legal troubles ⓘ life after prison ⓘ money laundering ⓘ rehabilitation ⓘ securities fraud ⓘ |
| narrativePerspective | first-person ⓘ |
| prequel | The Wolf of Wall Street ⓘ |
| publicationDate | 2009 ⓘ |
| publisher | HarperCollins ⓘ |
| setting |
New York
ⓘ
United States federal prison system ⓘ |
| subjectOf | book reviews ⓘ |
| timePeriodCovered |
1990s
ⓘ
early 2000s ⓘ |
| title | Catching the Wolf of Wall Street ⓘ |
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: Catching the Wolf of Wall Street Description of subject: Catching the Wolf of Wall Street is Jordan Belfort’s memoir detailing his downfall, legal troubles, and life after the events chronicled in his earlier book, The Wolf of Wall Street.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.