Nir Friedman
E298584
Nir Friedman is a computer scientist and computational biologist known for his influential work on probabilistic graphical models and their applications to biological data.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Nir Friedman canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T2790875 — 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: Nir Friedman Context triple: [Probabilistic Graphical Models: Principles and Techniques, author, Nir Friedman]
-
A.
Avi Kivity
Avi Kivity is an Israeli software engineer best known as the original creator of the KVM virtualization infrastructure for the Linux kernel.
-
B.
Yoav Nir
Yoav Nir is a computer scientist and cryptography expert known for his work on internet security standards, including co-authoring RFC 7539 on the ChaCha20 and Poly1305 encryption algorithms.
-
C.
Jon Rubinstein
Jon Rubinstein is an American computer engineer and executive best known for his key role in developing Apple's iPod and later leading Palm as CEO.
-
D.
Doron Peled
Doron Peled is a computer scientist known for his contributions to formal methods and model checking, particularly in collaboration with Edmund M. Clarke.
-
E.
Howard Silverblatt
Howard Silverblatt is the birth name of Howard Da Silva, an American actor and director known for his work in film, theater, and television during the mid-20th century.
- 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: Nir Friedman Target entity description: Nir Friedman is a computer scientist and computational biologist known for his influential work on probabilistic graphical models and their applications to biological data.
-
A.
Avi Kivity
Avi Kivity is an Israeli software engineer best known as the original creator of the KVM virtualization infrastructure for the Linux kernel.
-
B.
Yoav Nir
Yoav Nir is a computer scientist and cryptography expert known for his work on internet security standards, including co-authoring RFC 7539 on the ChaCha20 and Poly1305 encryption algorithms.
-
C.
Jon Rubinstein
Jon Rubinstein is an American computer engineer and executive best known for his key role in developing Apple's iPod and later leading Palm as CEO.
-
D.
Doron Peled
Doron Peled is a computer scientist known for his contributions to formal methods and model checking, particularly in collaboration with Edmund M. Clarke.
-
E.
Howard Silverblatt
Howard Silverblatt is the birth name of Howard Da Silva, an American actor and director known for his work in film, theater, and television during the mid-20th century.
- F. None of above. chosen
Statements (34)
| Predicate | Object |
|---|---|
| instanceOf |
computational biologist
ⓘ
computer scientist ⓘ person ⓘ |
| citizenship | Israel ⓘ |
| employer | Hebrew University of Jerusalem ⓘ |
| fieldOfWork |
bioinformatics
ⓘ
computational biology ⓘ computer science ⓘ machine learning ⓘ probabilistic graphical models ⓘ |
| hasAcademicRank | full professor ⓘ |
| hasPublishedOn |
Bayesian network structure learning
ⓘ
clustering of gene expression data ⓘ graphical models in biology ⓘ integrative analysis of genomic data ⓘ probabilistic models for sequence data ⓘ |
| knownFor |
Bayesian network learning
ⓘ
applications of probabilistic models to biological data ⓘ computational methods for gene expression analysis ⓘ probabilistic graphical models ⓘ statistical genomics ⓘ |
| languageSpoken |
English
ⓘ
Hebrew ⓘ |
| notableContribution |
development of probabilistic methods for analyzing gene expression profiles
ⓘ
methods for learning graphical models from data ⓘ pioneering use of Bayesian networks in biological data analysis ⓘ |
| occupation | professor ⓘ |
| researchInterest |
epigenomics
ⓘ
gene regulatory networks ⓘ high-throughput biological data analysis ⓘ single-cell genomics ⓘ statistical learning ⓘ systems biology ⓘ |
| workLocation | Jerusalem ⓘ |
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: Nir Friedman Description of subject: Nir Friedman is a computer scientist and computational biologist known for his influential work on probabilistic graphical models and their applications to biological data.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Probabilistic Graphical Models: Principles and Techniques