Jeremy Ashkenas
E106271
Jeremy Ashkenas is an American programmer and open-source developer best known for creating the CoffeeScript language and contributing to projects like Backbone.js and Underscore.js.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Jeremy Ashkenas canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T816006 — 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: Jeremy Ashkenas Context triple: [CoffeeScript, creator, Jeremy Ashkenas]
-
A.
Sam Zussman
Sam Zussman is a sports and media executive who serves as a top business leader for the NBA’s Brooklyn Nets organization.
-
B.
Ryan Roslansky
Ryan Roslansky is the CEO of LinkedIn, known for leading the professional networking platform’s product and business strategy.
-
C.
Leon Feldhendler
Leon Feldhendler was a Polish Jewish resistance leader and Holocaust survivor best known for co-organizing the 1943 prisoner uprising at the Sobibor extermination camp.
-
D.
Chris Lebenzon
Chris Lebenzon is an American film editor known for his long-time collaborations with directors like Tim Burton and Tony Scott on major Hollywood films.
-
E.
Jay Bienstock
Jay Bienstock is a television producer best known for his work on major reality competition series, including serving as an executive producer on "The Apprentice."
- 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: Jeremy Ashkenas Target entity description: Jeremy Ashkenas is an American programmer and open-source developer best known for creating the CoffeeScript language and contributing to projects like Backbone.js and Underscore.js.
-
A.
Sam Zussman
Sam Zussman is a sports and media executive who serves as a top business leader for the NBA’s Brooklyn Nets organization.
-
B.
Ryan Roslansky
Ryan Roslansky is the CEO of LinkedIn, known for leading the professional networking platform’s product and business strategy.
-
C.
Leon Feldhendler
Leon Feldhendler was a Polish Jewish resistance leader and Holocaust survivor best known for co-organizing the 1943 prisoner uprising at the Sobibor extermination camp.
-
D.
Chris Lebenzon
Chris Lebenzon is an American film editor known for his long-time collaborations with directors like Tim Burton and Tony Scott on major Hollywood films.
-
E.
Jay Bienstock
Jay Bienstock is a television producer best known for his work on major reality competition series, including serving as an executive producer on "The Apprentice."
- F. None of above. chosen
Statements (30)
| Predicate | Object |
|---|---|
| instanceOf |
JavaScript developer
ⓘ
computer programmer ⓘ human ⓘ open-source developer ⓘ software engineer ⓘ |
| contributedTo |
Backbone.js
ⓘ
Underscore.js ⓘ |
| countryOfCitizenship | United States of America ⓘ |
| designed | CoffeeScript syntax ⓘ |
| developed | CoffeeScript ⓘ |
| fieldOfWork |
open-source software
ⓘ
software development ⓘ web development ⓘ |
| influencedField |
JavaScript tooling
ⓘ
front-end frameworks ⓘ |
| knownFor |
Backbone.js
ⓘ
CoffeeScript ⓘ Underscore.js ⓘ |
| languageFamilyOfWork | JavaScript transpiled languages ⓘ |
| notableFor | popularizing CoffeeScript in the JavaScript community ⓘ |
| notableWork |
Backbone.js
ⓘ
CoffeeScript ⓘ Underscore.js ⓘ |
| occupation |
computer programmer
ⓘ
open-source software developer ⓘ software engineer ⓘ |
| primaryProgrammingLanguage | JavaScript ⓘ |
| programmingLanguageCreated | CoffeeScript ⓘ |
| softwareLibraryAuthorOf |
Backbone.js
ⓘ
Underscore.js ⓘ |
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: Jeremy Ashkenas Description of subject: Jeremy Ashkenas is an American programmer and open-source developer best known for creating the CoffeeScript language and contributing to projects like Backbone.js and Underscore.js.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.