Gregory Piatetsky-Shapiro
E356903
Gregory Piatetsky-Shapiro is a pioneering computer scientist and data mining expert best known as the founder of the KDD (Knowledge Discovery and Data Mining) conferences and the KDnuggets data science community.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Gregory Piatetsky-Shapiro canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T3425612 — 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: Gregory Piatetsky-Shapiro Context triple: [SIGKDD Innovation Award, notableRecipient, Gregory Piatetsky-Shapiro]
-
A.
Fedor Reingold
Fedor Reingold was one of the individuals prosecuted in the Soviet "Trial of the Sixteen," a major Stalin-era show trial targeting alleged political opponents.
-
B.
Pavel Axelrod
Pavel Axelrod was a prominent Russian Marxist theorist and revolutionary leader, best known as one of the principal figures of the Menshevik faction of the Russian Social Democratic movement.
-
C.
Moshe Y. Vardi
Moshe Y. Vardi is a prominent computer scientist known for his influential work in logic in computer science, database theory, and automated verification.
-
D.
Mikhail Brin
Mikhail Brin is a Soviet-born mathematician and academic, best known as the father of Google co-founder Sergey Brin.
-
E.
Leslie Valiant
Leslie Valiant is a renowned computer scientist known for his foundational work in computational learning theory, complexity theory, and artificial intelligence.
- 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: Gregory Piatetsky-Shapiro Target entity description: Gregory Piatetsky-Shapiro is a pioneering computer scientist and data mining expert best known as the founder of the KDD (Knowledge Discovery and Data Mining) conferences and the KDnuggets data science community.
-
A.
Fedor Reingold
Fedor Reingold was one of the individuals prosecuted in the Soviet "Trial of the Sixteen," a major Stalin-era show trial targeting alleged political opponents.
-
B.
Pavel Axelrod
Pavel Axelrod was a prominent Russian Marxist theorist and revolutionary leader, best known as one of the principal figures of the Menshevik faction of the Russian Social Democratic movement.
-
C.
Moshe Y. Vardi
Moshe Y. Vardi is a prominent computer scientist known for his influential work in logic in computer science, database theory, and automated verification.
-
D.
Mikhail Brin
Mikhail Brin is a Soviet-born mathematician and academic, best known as the father of Google co-founder Sergey Brin.
-
E.
Leslie Valiant
Leslie Valiant is a renowned computer scientist known for his foundational work in computational learning theory, complexity theory, and artificial intelligence.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
computer scientist
ⓘ
conference founder ⓘ data mining researcher ⓘ entrepreneur ⓘ |
| activeIn |
1990s
ⓘ
2000s ⓘ 2010s ⓘ |
| associatedWith |
SIGKDD
ⓘ
surface form:
ACM SIGKDD
SIGKDD ⓘ
surface form:
KDD Cup
data mining competitions ⓘ |
| awardReceived |
SIGKDD Service Award
ⓘ
surface form:
ACM SIGKDD Service Award
IEEE ICDM Outstanding Service Award ⓘ |
| citizenship |
United States of America
ⓘ
surface form:
United States
|
| educatedAt |
Moscow Institute of Physics and Technology (Dolgoprudny)
ⓘ
surface form:
Moscow Institute of Physics and Technology
New York University ⓘ |
| fieldOfWork |
computer science
ⓘ
data mining ⓘ data science ⓘ knowledge discovery in databases ⓘ |
| founded |
SIGKDD
ⓘ
surface form:
ACM SIGKDD precursor workshops
SIGKDD ⓘ
surface form:
KDD conference series
KDnuggets ⓘ |
| hasAcademicDegree | PhD in computer science ⓘ |
| hasInterest |
artificial intelligence
ⓘ
big data analytics ⓘ machine learning ⓘ |
| hasRole |
community leader in data science
ⓘ
editor of KDnuggets ⓘ organizer of KDD conferences ⓘ |
| influenced |
development of data mining as a field
ⓘ
formation of data science community ⓘ |
| knownFor |
SIGKDD
ⓘ
surface form:
KDD conferences
KDnuggets ⓘ data mining ⓘ knowledge discovery in databases ⓘ |
| languageSpoken |
English
ⓘ
Russian ⓘ |
| notableFor |
building one of the earliest online data mining communities
ⓘ
popularizing the term data mining ⓘ |
| notableWork |
development of KDnuggets website
ⓘ
early work on knowledge discovery in databases ⓘ organization of the first KDD workshop ⓘ promotion of data mining and data science communities ⓘ |
| occupation |
businessperson
ⓘ
computer scientist ⓘ data scientist ⓘ editor ⓘ |
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: Gregory Piatetsky-Shapiro Description of subject: Gregory Piatetsky-Shapiro is a pioneering computer scientist and data mining expert best known as the founder of the KDD (Knowledge Discovery and Data Mining) conferences and the KDnuggets data science community.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.