Richard Leibler
E77280
Richard Leibler was an American mathematician and statistician best known for co-developing the Kullback–Leibler divergence, a fundamental concept in information theory and statistics.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Richard A. Leibler | 1 |
| Richard Leibler canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T310332 — 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: Richard Leibler Context triple: [Kullback–Leibler divergence, namedAfter, Richard Leibler]
-
A.
Neil Goldman
Neil Goldman is a recurring nerdy, socially awkward teenage character in the animated TV series "Family Guy," often portrayed as infatuated with Meg Griffin.
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B.
Andrew Heiskell
Andrew Heiskell was an American publishing executive and philanthropist best known as a longtime leader of Time Inc. and a prominent figure in New York’s cultural and civic life.
-
C.
Dean Riesner
Dean Riesner was an American screenwriter best known for his work on films such as "Dirty Harry" and "Play Misty for Me."
-
D.
David Seidler
David Seidler is a British-American screenwriter best known for writing the Academy Award-winning screenplay for the historical drama film "The King’s Speech."
-
E.
Sol C. Siegel
Sol C. Siegel was an American film producer known for overseeing numerous major Hollywood productions from the 1940s through the 1960s.
- 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: Richard Leibler Target entity description: Richard Leibler was an American mathematician and statistician best known for co-developing the Kullback–Leibler divergence, a fundamental concept in information theory and statistics.
-
A.
Neil Goldman
Neil Goldman is a recurring nerdy, socially awkward teenage character in the animated TV series "Family Guy," often portrayed as infatuated with Meg Griffin.
-
B.
Andrew Heiskell
Andrew Heiskell was an American publishing executive and philanthropist best known as a longtime leader of Time Inc. and a prominent figure in New York’s cultural and civic life.
-
C.
Dean Riesner
Dean Riesner was an American screenwriter best known for his work on films such as "Dirty Harry" and "Play Misty for Me."
-
D.
David Seidler
David Seidler is a British-American screenwriter best known for writing the Academy Award-winning screenplay for the historical drama film "The King’s Speech."
-
E.
Sol C. Siegel
Sol C. Siegel was an American film producer known for overseeing numerous major Hollywood productions from the 1940s through the 1960s.
- F. None of above. chosen
Statements (16)
| Predicate | Object |
|---|---|
| instanceOf |
American
ⓘ
information theory concept ⓘ mathematician ⓘ statistical divergence measure ⓘ statistician ⓘ |
| alsoKnownAs | relative entropy ⓘ |
| areaOfResearch |
information theory
ⓘ
statistical inference ⓘ |
| coAuthorWith | Solomon Kullback ⓘ |
| countryOfCitizenship |
United States
ⓘ
linked to:
United States of America
|
| field |
information theory
ⓘ
mathematics ⓘ statistics ⓘ statistics ⓘ |
| knownFor | co-developing the Kullback–Leibler divergence ⓘ |
| notableWork | Kullback–Leibler divergence ⓘ |
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: Richard Leibler Description of subject: Richard Leibler was an American mathematician and statistician best known for co-developing the Kullback–Leibler divergence, a fundamental concept in information theory and statistics.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Richard Leibler