Sergio Verdú
E634608
Sergio Verdú is a prominent information theorist known for his foundational contributions to multiuser detection and information theory, recognized by major honors in the field.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Sergio Verdú canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T7000437 — 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: Sergio Verdú Context triple: [Claude E. Shannon Award, notableRecipient, Sergio Verdú]
-
A.
Sergio Peris-Mencheta
Sergio Peris-Mencheta is a Spanish actor known for his work in film, television, and theater, including a prominent role in the action franchise film "Rambo: Last Blood."
-
B.
Jaime Lorente
Jaime Lorente is a Spanish actor best known internationally for his role as Denver in the hit Netflix series "Money Heist" and for appearing in other popular Spanish dramas.
-
C.
Diego Muñoz-Torrero
Diego Muñoz-Torrero was a Spanish priest, politician, and liberal reformer who played a leading role in the Cortes of Cádiz and the drafting of the Spanish Constitution of 1812.
-
D.
Emilio Esteban-Infantes
Emilio Esteban-Infantes was a Spanish general best known for leading the Blue Division, the volunteer unit that fought alongside Nazi Germany on the Eastern Front during World War II.
-
E.
Enric Sagnier
Enric Sagnier was a prolific Catalan architect whose eclectic yet prominently Modernisme-influenced works helped shape the urban landscape of Barcelona in the late 19th and early 20th centuries.
- 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: Sergio Verdú Target entity description: Sergio Verdú is a prominent information theorist known for his foundational contributions to multiuser detection and information theory, recognized by major honors in the field.
-
A.
Sergio Peris-Mencheta
Sergio Peris-Mencheta is a Spanish actor known for his work in film, television, and theater, including a prominent role in the action franchise film "Rambo: Last Blood."
-
B.
Jaime Lorente
Jaime Lorente is a Spanish actor best known internationally for his role as Denver in the hit Netflix series "Money Heist" and for appearing in other popular Spanish dramas.
-
C.
Diego Muñoz-Torrero
Diego Muñoz-Torrero was a Spanish priest, politician, and liberal reformer who played a leading role in the Cortes of Cádiz and the drafting of the Spanish Constitution of 1812.
-
D.
Emilio Esteban-Infantes
Emilio Esteban-Infantes was a Spanish general best known for leading the Blue Division, the volunteer unit that fought alongside Nazi Germany on the Eastern Front during World War II.
-
E.
Enric Sagnier
Enric Sagnier was a prolific Catalan architect whose eclectic yet prominently Modernisme-influenced works helped shape the urban landscape of Barcelona in the late 19th and early 20th centuries.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
information theorist
ⓘ
person ⓘ |
| academicDegree | PhD in electrical engineering ⓘ |
| affiliation | IEEE Information Theory Society NERFINISHED ⓘ |
| authorOf | Multiuser Detection NERFINISHED ⓘ |
| awardReceived |
Claude E. Shannon Award
NERFINISHED
ⓘ
EURASIP Best Paper Award NERFINISHED ⓘ IEEE Donald G. Fink Prize Paper Award NERFINISHED ⓘ IEEE Fellow recognition NERFINISHED ⓘ IEEE Information Theory Society Paper Award NERFINISHED ⓘ IEEE Richard W. Hamming Medal NERFINISHED ⓘ Information Theory Society Golden Jubilee Paper Award NERFINISHED ⓘ Marconi Prize Paper Award in Wireless Communications NERFINISHED ⓘ National Science Foundation Presidential Young Investigator Award NERFINISHED ⓘ |
| citizenship | Spain ⓘ |
| countryOfOrigin | Spain ⓘ |
| editorOf | Foundations and Trends in Communications and Information Theory (journal series) NERFINISHED ⓘ |
| educatedAt |
Universitat Politècnica de Barcelona
NERFINISHED
ⓘ
University of Illinois at Urbana–Champaign ⓘ |
| employer | Princeton University ⓘ |
| fieldOfWork |
communications theory
ⓘ
information theory ⓘ multiuser detection ⓘ |
| gender | male ⓘ |
| influenced |
modern information theory
ⓘ
research in CDMA multiuser detection ⓘ wireless communication system design ⓘ |
| knownFor |
contributions to information theory
ⓘ
foundational contributions to multiuser detection ⓘ work on channel capacity and information measures ⓘ work on multiuser detection in CDMA systems ⓘ |
| languageSpoken |
English
ⓘ
Spanish ⓘ |
| memberOf |
National Academy of Engineering
ⓘ
National Academy of Sciences ⓘ
surface form:
National Academy of Sciences of the United States of America
Real Academia de Ingeniería (Spain) NERFINISHED ⓘ |
| notableStudent | Tse David N. C. (coauthor and collaborator; sometimes listed as academic descendant) NERFINISHED ⓘ |
| notableWork |
Information Theory and Statistics (research contributions)
NERFINISHED
ⓘ
Multiuser Detection (book) NERFINISHED ⓘ Spectral efficiency in wireless communications (research contributions) ⓘ |
| occupation |
researcher
ⓘ
university professor ⓘ |
| positionHeld |
Eugene Higgins Professor of Electrical Engineering at Princeton University
NERFINISHED
ⓘ
Professor of Electrical Engineering at Princeton University ⓘ |
| publisher | Cambridge University Press NERFINISHED ⓘ |
| workLocation | Princeton, New Jersey 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: Sergio Verdú Description of subject: Sergio Verdú is a prominent information theorist known for his foundational contributions to multiuser detection and information theory, recognized by major honors in the field.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.