Nassim Nicholas Taleb
E302962
Lebanese-American person
academic
author
essayist
human
options trader
philosopher of probability
risk analyst
statistician
Nassim Nicholas Taleb is a Lebanese-American scholar, statistician, and former options trader best known for his work on probability, risk, and uncertainty, including the influential book "The Black Swan."
All labels observed (2)
| Label | Occurrences |
|---|---|
| Nassim Nicholas Taleb canonical | 5 |
| Taleb | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2849567 — 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: Nassim Nicholas Taleb Context triple: [Wharton School of the University of Pennsylvania, hasAlumnus, Nassim Nicholas Taleb]
-
A.
Nouriel Roubini
Nouriel Roubini is an Iranian-American economist and New York University professor known for accurately predicting the 2008 global financial crisis and for his often pessimistic macroeconomic forecasts.
-
B.
David Meriwether
David Meriwether was an American politician and statesman from Georgia who served in the U.S. Congress in the early 19th century.
-
C.
Martin Armstrong
Martin Armstrong is an American former financial advisor and self-taught economic forecaster known for his controversial "Economic Confidence Model" and high-profile legal troubles related to fraud charges.
-
D.
Fischer Black
Fischer Black was an American economist and financial theorist best known for co-developing the Black–Scholes option pricing model, a foundational tool in modern quantitative finance.
-
E.
Ben Mezrich
Ben Mezrich is an American author best known for writing nonfiction books about high-stakes gambling, technology, and finance, including the work that inspired the film "The Social Network."
- 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: Nassim Nicholas Taleb Target entity description: Nassim Nicholas Taleb is a Lebanese-American scholar, statistician, and former options trader best known for his work on probability, risk, and uncertainty, including the influential book "The Black Swan."
-
A.
Nouriel Roubini
Nouriel Roubini is an Iranian-American economist and New York University professor known for accurately predicting the 2008 global financial crisis and for his often pessimistic macroeconomic forecasts.
-
B.
David Meriwether
David Meriwether was an American politician and statesman from Georgia who served in the U.S. Congress in the early 19th century.
-
C.
Martin Armstrong
Martin Armstrong is an American former financial advisor and self-taught economic forecaster known for his controversial "Economic Confidence Model" and high-profile legal troubles related to fraud charges.
-
D.
Fischer Black
Fischer Black was an American economist and financial theorist best known for co-developing the Black–Scholes option pricing model, a foundational tool in modern quantitative finance.
-
E.
Ben Mezrich
Ben Mezrich is an American author best known for writing nonfiction books about high-stakes gambling, technology, and finance, including the work that inspired the film "The Social Network."
- F. None of above. chosen
Statements (54)
| Predicate | Object |
|---|---|
| instanceOf |
Lebanese-American person
ⓘ
academic ⓘ author ⓘ essayist ⓘ human ⓘ options trader ⓘ philosopher of probability ⓘ risk analyst ⓘ statistician ⓘ |
| countryOfCitizenship |
Lebanon
ⓘ
United States of America ⓘ |
| dateOfBirth | 1960-09-11 ⓘ |
| degree | PhD in Management Science ⓘ |
| educatedAt |
University of Paris (Dauphine)
ⓘ
linked to:
Université Paris IX Dauphine
Wharton School of the University of Pennsylvania ⓘ |
| employer |
Courant Institute of Mathematical Sciences
ⓘ
linked to:
New York University
London Business School ⓘ New York University Polytechnic School of Engineering ⓘ
linked to:
NYU Tandon School of Engineering
University of Massachusetts Amherst ⓘ |
| familyName |
Taleb
ⓘ
linked to:
Nassim Nicholas Taleb
|
| fieldOfWork |
decision theory
ⓘ
epistemology of randomness ⓘ financial mathematics ⓘ philosophy of uncertainty ⓘ probability theory ⓘ risk management ⓘ |
| givenName | Nassim ⓘ |
| languageOfWorkOrName |
Arabic
ⓘ
English ⓘ French ⓘ |
| name | Nassim Nicholas Taleb ⓘ |
| notableConcept |
antifragility
ⓘ
black swan theory ⓘ ludic fallacy ⓘ skin in the game ⓘ via negativa ⓘ |
| notableWork |
Antifragile
ⓘ
Fooled by Randomness ⓘ Skin in the Game ⓘ The Bed of Procrustes ⓘ The Black Swan ⓘ |
| occupation |
options trader
ⓘ
professor ⓘ risk engineer ⓘ scholar ⓘ writer ⓘ |
| placeOfBirth | Amioun, Lebanon ⓘ |
| positionHeld | Distinguished Professor of Risk Engineering ⓘ |
| researchInterest |
black swan events
ⓘ
epistemic uncertainty ⓘ fat-tailed distributions ⓘ fragility and antifragility ⓘ model risk ⓘ |
| series | Incerto ⓘ |
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: Nassim Nicholas Taleb Description of subject: Nassim Nicholas Taleb is a Lebanese-American scholar, statistician, and former options trader best known for his work on probability, risk, and uncertainty, including the influential book "The Black Swan."
Referenced by (6)
Full triples — surface form annotated when it differs from this entity's canonical label.