Pedro Domingos
E356899
Pedro Domingos is a prominent computer scientist and machine learning researcher known for his influential work on data mining, probabilistic modeling, and the popular science book "The Master Algorithm."
All labels observed (1)
| Label | Occurrences |
|---|---|
| Pedro Domingos canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T3425608 — 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: Pedro Domingos Context triple: [SIGKDD Innovation Award, notableRecipient, Pedro Domingos]
-
A.
Daniel Rezende
Daniel Rezende is a Brazilian film editor best known for his acclaimed work on internationally recognized films such as "City of God" and other major cinematic projects.
-
B.
Dario Amodei
Dario Amodei is an AI researcher and entrepreneur, co-founder and CEO of Anthropic and former OpenAI research leader known for his work on large language models and AI safety.
-
C.
Erick M. Carreira
Erick M. Carreira is a prominent organic chemist known for his contributions to synthetic methodology and natural product synthesis, and for serving as editor-in-chief of the journal Angewandte Chemie.
-
D.
Leonardo de Moura
Leonardo de Moura is a Brazilian computer scientist best known for creating the Z3 theorem prover and contributing significantly to automated reasoning and formal verification.
-
E.
Andrew B. Moore
Andrew B. Moore was an American politician who served as governor of Alabama in the years leading up to and during the early part of the Civil War.
- 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: Pedro Domingos Target entity description: Pedro Domingos is a prominent computer scientist and machine learning researcher known for his influential work on data mining, probabilistic modeling, and the popular science book "The Master Algorithm."
-
A.
Daniel Rezende
Daniel Rezende is a Brazilian film editor best known for his acclaimed work on internationally recognized films such as "City of God" and other major cinematic projects.
-
B.
Dario Amodei
Dario Amodei is an AI researcher and entrepreneur, co-founder and CEO of Anthropic and former OpenAI research leader known for his work on large language models and AI safety.
-
C.
Erick M. Carreira
Erick M. Carreira is a prominent organic chemist known for his contributions to synthetic methodology and natural product synthesis, and for serving as editor-in-chief of the journal Angewandte Chemie.
-
D.
Leonardo de Moura
Leonardo de Moura is a Brazilian computer scientist best known for creating the Z3 theorem prover and contributing significantly to automated reasoning and formal verification.
-
E.
Andrew B. Moore
Andrew B. Moore was an American politician who served as governor of Alabama in the years leading up to and during the early part of the Civil War.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
author
ⓘ
book ⓘ computer scientist ⓘ machine learning researcher ⓘ |
| academicDegree | PhD in Information and Computer Science ⓘ |
| author | Pedro Domingos self-linksurface differs ⓘ |
| awardReceived | SIGKDD Innovation Award ⓘ |
| citizenship |
Portugal
ⓘ
United States of America ⓘ
surface form:
United States
|
| educatedAt |
Instituto Superior Técnico
ⓘ
University of California, Irvine ⓘ |
| employer | University of Washington ⓘ |
| fieldOfWork |
Markov logic networks
ⓘ
surface form:
Markov logic
artificial intelligence ⓘ computer science ⓘ data mining ⓘ machine learning ⓘ probabilistic modeling ⓘ statistical relational learning ⓘ |
| genre |
non-fiction
ⓘ
popular science ⓘ |
| hasAcademicRank | professor emeritus ⓘ |
| hasPublishedIn |
ICML
ⓘ
SIGKDD ⓘ
surface form:
KDD
NeurIPS ⓘ
surface form:
NIPS/NeurIPS
|
| hasWritten | The Master Algorithm ⓘ |
| knownFor |
Markov logic networks
ⓘ
The Master Algorithm ⓘ ensemble methods in machine learning ⓘ meta-learning ⓘ probabilistic logic learning ⓘ research in data mining ⓘ research in machine learning ⓘ |
| languageSpoken |
English
ⓘ
Portuguese ⓘ |
| mainInterest |
artificial intelligence
ⓘ
data mining algorithms ⓘ machine learning theory ⓘ statistical relational learning ⓘ |
| notableIdea |
Markov logic networks
ⓘ
surface form:
Markov logic network
The Master Algorithm hypothesis ⓘ |
| notableWork | The Master Algorithm ⓘ |
| occupation | professor ⓘ |
| positionHeld | professor of computer science at the University of Washington ⓘ |
| workLocation | Seattle ⓘ |
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: Pedro Domingos Description of subject: Pedro Domingos is a prominent computer scientist and machine learning researcher known for his influential work on data mining, probabilistic modeling, and the popular science book "The Master Algorithm."
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
The Master Algorithm