Paul Groth
E818068
Paul Groth is a computer scientist known for his work in knowledge representation, semantic web technologies, and data provenance.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Paul Groth canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9751482 — 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: Paul Groth Context triple: [Groth, hasNotableBearer, Paul Groth]
-
A.
Richard Laver
Richard Laver was an American mathematician known for his influential work in set theory, particularly on large cardinals, orderings, and the foundations of mathematics.
-
B.
Thomas Muster
Thomas Muster is a former Austrian professional tennis player best known for winning the 1995 French Open and becoming world No. 1 in men's singles.
-
C.
Rod Laver
Rod Laver is an Australian tennis legend widely regarded as one of the greatest players in history, famed for winning two calendar-year Grand Slams.
-
D.
Paul Hunter
Paul Hunter is an acclaimed American music video director known for his visually innovative work with major artists across hip-hop, R&B, and pop.
-
E.
Greg Norman
Greg Norman is an Australian former professional golfer and entrepreneur, best known for his world No. 1 ranking in the 1980s and 1990s and for winning two Open Championships.
- 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: Paul Groth Target entity description: Paul Groth is a computer scientist known for his work in knowledge representation, semantic web technologies, and data provenance.
-
A.
Richard Laver
Richard Laver was an American mathematician known for his influential work in set theory, particularly on large cardinals, orderings, and the foundations of mathematics.
-
B.
Thomas Muster
Thomas Muster is a former Austrian professional tennis player best known for winning the 1995 French Open and becoming world No. 1 in men's singles.
-
C.
Rod Laver
Rod Laver is an Australian tennis legend widely regarded as one of the greatest players in history, famed for winning two calendar-year Grand Slams.
-
D.
Paul Hunter
Paul Hunter is an acclaimed American music video director known for his visually innovative work with major artists across hip-hop, R&B, and pop.
-
E.
Greg Norman
Greg Norman is an Australian former professional golfer and entrepreneur, best known for his world No. 1 ranking in the 1980s and 1990s and for winning two Open Championships.
- F. None of above. chosen
Statements (39)
| Predicate | Object |
|---|---|
| instanceOf |
computer scientist
ⓘ
researcher ⓘ |
| contributedTo |
development of provenance models for scientific workflows
ⓘ
methods for tracking data lineage ⓘ techniques for integrating provenance into Semantic Web systems ⓘ |
| countryOfCitizenship | Netherlands ⓘ |
| educatedAt | University of Southampton ⓘ |
| fieldOfWork |
Semantic Web
ⓘ
data integration ⓘ data provenance ⓘ e-science ⓘ knowledge representation ⓘ linked data ⓘ scientific workflows ⓘ web science ⓘ |
| hasAcademicDegree | PhD in Computer Science ⓘ |
| hasOccupation |
computer scientist
ⓘ
research scientist ⓘ university professor ⓘ |
| hasRole |
academic researcher
ⓘ
author of scientific publications ⓘ professor of computer science ⓘ |
| isAlive | true ⓘ |
| knownFor |
research on Semantic Web technologies
ⓘ
research on data provenance on the Web ⓘ research on knowledge representation ⓘ work on provenance models and standards ⓘ work on reproducible e-science ⓘ |
| languageOfWorkOrName |
Dutch
ⓘ
English ⓘ |
| publishesIn |
Semantic Web conferences
ⓘ
Web science conferences ⓘ
linked to:
ACM Web Science Conference
computer science journals ⓘ |
| researchInterest |
data citation
ⓘ
knowledge graphs ⓘ open science ⓘ provenance on the Web ⓘ scientific data management ⓘ |
| workLocation | Netherlands ⓘ |
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: Paul Groth Description of subject: Paul Groth is a computer scientist known for his work in knowledge representation, semantic web technologies, and data provenance.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.