David Klenerman
E772137
David Klenerman is a British chemist and biophysicist best known for co-inventing next-generation DNA sequencing technology that revolutionized genomics.
All labels observed (1)
| Label | Occurrences |
|---|---|
| David Klenerman canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8998833 — 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: David Klenerman Context triple: [LMB, hasNotableResearcher, David Klenerman]
-
A.
Roger Sloman
Roger Sloman is a British character actor known for his work in film, television, and theatre, often appearing in comedic and dramatic supporting roles.
-
B.
Nigel Hess
Nigel Hess is a British composer best known for his work on television, film, and theatre scores, including numerous BBC dramas and stage productions.
-
C.
Nigel Shadbolt
Nigel Shadbolt is a British computer scientist and artificial intelligence researcher known for his leading role in promoting open data and digital governance.
-
D.
Nigel Sears
Nigel Sears is a British tennis coach best known for working with several top WTA players, including former world No. 1 Ana Ivanovic.
-
E.
Jeffrey Stott
Jeffrey Stott is a film producer best known for his work on the political comedy film "The American President."
- 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: David Klenerman Target entity description: David Klenerman is a British chemist and biophysicist best known for co-inventing next-generation DNA sequencing technology that revolutionized genomics.
-
A.
Roger Sloman
Roger Sloman is a British character actor known for his work in film, television, and theatre, often appearing in comedic and dramatic supporting roles.
-
B.
Nigel Hess
Nigel Hess is a British composer best known for his work on television, film, and theatre scores, including numerous BBC dramas and stage productions.
-
C.
Nigel Shadbolt
Nigel Shadbolt is a British computer scientist and artificial intelligence researcher known for his leading role in promoting open data and digital governance.
-
D.
Nigel Sears
Nigel Sears is a British tennis coach best known for working with several top WTA players, including former world No. 1 Ana Ivanovic.
-
E.
Jeffrey Stott
Jeffrey Stott is a film producer best known for his work on the political comedy film "The American President."
- F. None of above. chosen
Statements (32)
| Predicate | Object |
|---|---|
| instanceOf |
biophysicist
ⓘ
chemist ⓘ human ⓘ |
| awardReceived |
Breakthrough Prize in Life Sciences
NERFINISHED
ⓘ
Millennium Technology Prize NERFINISHED ⓘ Royal Medal ⓘ |
| coFounded | Solexa NERFINISHED ⓘ |
| coInvented | next-generation DNA sequencing ⓘ |
| collaboratedWith | Shankar Balasubramanian NERFINISHED ⓘ |
| countryOfCitizenship | United Kingdom ⓘ |
| educatedAt |
Cambridge University
ⓘ
surface form:
University of Cambridge
|
| employer |
Cambridge University
ⓘ
surface form:
University of Cambridge
|
| fieldOfWork |
DNA sequencing
ⓘ
biophysics ⓘ chemistry ⓘ genomics ⓘ single-molecule biophysics ⓘ |
| gender | male ⓘ |
| hasAcademicRank | professor ⓘ |
| knownFor |
development of next-generation sequencing technology
ⓘ
work that revolutionized genomics ⓘ |
| languageSpoken | English ⓘ |
| memberOf | Royal Society ⓘ |
| notableFor | co-invention of next-generation DNA sequencing ⓘ |
| notableStudentOrCollaborator | Shankar Balasubramanian NERFINISHED ⓘ |
| occupation |
biophysicist
ⓘ
chemist ⓘ |
| researchInterest |
neurodegenerative disease mechanisms
ⓘ
nucleic acids ⓘ protein aggregation ⓘ single-molecule fluorescence ⓘ |
| workLocation | Cambridge 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.
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: David Klenerman Description of subject: David Klenerman is a British chemist and biophysicist best known for co-inventing next-generation DNA sequencing technology that revolutionized genomics.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.