Michael I. Jordan
E437505
Michael I. Jordan is a prominent American computer scientist and statistician known for his foundational contributions to machine learning, probabilistic graphical models, and artificial intelligence.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Michael I. Jordan canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T4416819 — 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.
Target entity: Michael I. Jordan Context triple: [IJCAI Award for Research Excellence, notableRecipient, Michael I. Jordan]
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A.
Michael Bakari Jordan
Michael Bakari Jordan is an American actor and producer best known for his roles in films such as "Fruitvale Station," "Creed," and "Black Panther."
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B.
William Jeffrey Hostetler
William Jeffrey Hostetler, better known as Jeff Hostetler, is a former American football quarterback who led the New York Giants to victory in Super Bowl XXV.
-
C.
Richard Leonard Adelman
Richard Leonard Adelman is an American former professional basketball coach and player best known for his successful NBA coaching career with teams such as the Portland Trail Blazers, Sacramento Kings, and Houston Rockets.
-
D.
Phil Jordan
Phil Jordan is a musician best known as a former member of the American rock band No Doubt.
-
E.
Michael Jordan
Michael Jordan is a legendary American basketball player widely regarded as one of the greatest athletes in the history of the sport.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Michael I. Jordan Target entity description: Michael I. Jordan is a prominent American computer scientist and statistician known for his foundational contributions to machine learning, probabilistic graphical models, and artificial intelligence.
-
A.
Michael Bakari Jordan
Michael Bakari Jordan is an American actor and producer best known for his roles in films such as "Fruitvale Station," "Creed," and "Black Panther."
-
B.
William Jeffrey Hostetler
William Jeffrey Hostetler, better known as Jeff Hostetler, is a former American football quarterback who led the New York Giants to victory in Super Bowl XXV.
-
C.
Richard Leonard Adelman
Richard Leonard Adelman is an American former professional basketball coach and player best known for his successful NBA coaching career with teams such as the Portland Trail Blazers, Sacramento Kings, and Houston Rockets.
-
D.
Phil Jordan
Phil Jordan is a musician best known as a former member of the American rock band No Doubt.
-
E.
Michael Jordan
Michael Jordan is a legendary American basketball player widely regarded as one of the greatest athletes in the history of the sport.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
academic
ⓘ
computer scientist ⓘ human ⓘ statistician ⓘ |
| awardReceived |
ACM/AAAI Allen Newell Award
NERFINISHED
ⓘ
ASA Medallion Lecture NERFINISHED ⓘ David E. Rumelhart Prize NERFINISHED ⓘ IEEE John von Neumann Medal NERFINISHED ⓘ IMS Medallion Lecture NERFINISHED ⓘ NIPS Test of Time Award NERFINISHED ⓘ |
| countryOfCitizenship | United States of America ⓘ |
| doctoralAdvisor | David Rumelhart NERFINISHED ⓘ |
| educatedAt |
Arizona State University
NERFINISHED
ⓘ
Louisiana State University NERFINISHED ⓘ University of California, San Diego NERFINISHED ⓘ |
| employer | University of California, Berkeley ⓘ |
| familyName | Jordan NERFINISHED ⓘ |
| fieldOfWork |
Bayesian statistics
ⓘ
artificial intelligence ⓘ machine learning ⓘ optimization ⓘ probabilistic graphical models ⓘ statistical learning theory ⓘ statistics ⓘ |
| givenName | Michael ⓘ |
| hasAcademicDiscipline | electrical engineering and computer sciences ⓘ |
| influenced | machine learning research community ⓘ |
| influencedBy | David Rumelhart NERFINISHED ⓘ |
| memberOf |
American Academy of Arts and Sciences
ⓘ
American Statistical Association NERFINISHED ⓘ Association for Computing Machinery NERFINISHED ⓘ Institute of Mathematical Statistics NERFINISHED ⓘ National Academy of Engineering ⓘ National Academy of Sciences ⓘ |
| name | Michael I. Jordan NERFINISHED ⓘ |
| notableFor |
foundational contributions to artificial intelligence
ⓘ
foundational contributions to machine learning ⓘ foundational contributions to probabilistic graphical models ⓘ |
| notableWork |
Bayesian nonparametrics
NERFINISHED
ⓘ
foundational work on probabilistic graphical models ⓘ hierarchical Dirichlet processes NERFINISHED ⓘ mixture of experts model ⓘ variational inference in graphical models ⓘ work on scalable machine learning algorithms ⓘ |
| occupation | professor ⓘ |
| positionHeld |
Professor of Electrical Engineering and Computer Sciences at UC Berkeley
ⓘ
Professor of Statistics at UC Berkeley ⓘ |
| sexOrGender | male ⓘ |
| workLocation | Berkeley, California NERFINISHED ⓘ |
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.
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.
Subject: Michael I. Jordan Description of subject: Michael I. Jordan is a prominent American computer scientist and statistician known for his foundational contributions to machine learning, probabilistic graphical models, and artificial intelligence.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.