Intentional Programming
E572852
Intentional Programming is a software development paradigm proposed by Charles Simonyi that focuses on capturing programmers’ high-level intentions in a more expressive, domain-specific form than traditional programming languages.
All labels observed (2)
| Label | Occurrences |
|---|---|
| Intentional Programming canonical | 1 |
| intentional programming | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6179067 — 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: Intentional Programming Context triple: [Charles Simonyi, notableWork, Intentional Programming]
-
A.
The Minimalist Program
The Minimalist Program is a major theoretical framework in generative linguistics, developed by Noam Chomsky, that seeks to explain the properties of human language through the simplest and most economical principles and mechanisms.
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B.
Intentional Talk
Intentional Talk is a lighthearted baseball talk show featuring player interviews, game analysis, and humorous commentary on MLB Network.
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C.
"Programs with Common Sense"
"Programs with Common Sense" is a seminal 1959 paper by John McCarthy that introduced the idea of using formal logic to represent common-sense knowledge and reasoning in artificial intelligence systems.
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D.
Generative Programming: Concepts & Experiences
Generative Programming: Concepts & Experiences is an academic conference focused on research in generative and component-based software development, programming languages, and software engineering techniques.
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E.
Interactive Software Engineering
Interactive Software Engineering was a software company founded by Bertrand Meyer, best known for developing the Eiffel programming language and promoting object-oriented software engineering methods.
- 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: Intentional Programming Target entity description: Intentional Programming is a software development paradigm proposed by Charles Simonyi that focuses on capturing programmers’ high-level intentions in a more expressive, domain-specific form than traditional programming languages.
-
A.
The Minimalist Program
The Minimalist Program is a major theoretical framework in generative linguistics, developed by Noam Chomsky, that seeks to explain the properties of human language through the simplest and most economical principles and mechanisms.
-
B.
Intentional Talk
Intentional Talk is a lighthearted baseball talk show featuring player interviews, game analysis, and humorous commentary on MLB Network.
-
C.
"Programs with Common Sense"
"Programs with Common Sense" is a seminal 1959 paper by John McCarthy that introduced the idea of using formal logic to represent common-sense knowledge and reasoning in artificial intelligence systems.
-
D.
Generative Programming: Concepts & Experiences
Generative Programming: Concepts & Experiences is an academic conference focused on research in generative and component-based software development, programming languages, and software engineering techniques.
-
E.
Interactive Software Engineering
Interactive Software Engineering was a software company founded by Bertrand Meyer, best known for developing the Eiffel programming language and promoting object-oriented software engineering methods.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
programming methodology
ⓘ
software development paradigm ⓘ |
| aimsTo |
enable domain experts to work closer to the code
ⓘ
improve expressiveness of program representation ⓘ separate intent from implementation details ⓘ support multiple projections of the same underlying intent ⓘ |
| allows |
evolving implementation without changing high-level intent
ⓘ
generating different code from the same high-level intent ⓘ storing programs as structured data rather than text ⓘ |
| basedOnConcept |
domain-specific languages
ⓘ
intentional representation of code ⓘ projectional editing ⓘ |
| contrastsWith |
general-purpose programming languages
ⓘ
traditional text-based programming languages ⓘ |
| developedAt | Microsoft Research ⓘ |
| developmentStartedIn | 1990s ⓘ |
| documentedIn |
papers by Charles Simonyi
ⓘ
talks and presentations at Microsoft Research ⓘ |
| emphasizes |
decoupling of user notation from underlying representation
ⓘ
machine-readable, high-level program intent ⓘ tool support for domain experts ⓘ |
| focusesOn |
capturing programmers' high-level intentions
ⓘ
domain-specific representations of programs ⓘ |
| hasApproach |
render intentions through various projections for different stakeholders
ⓘ
store intentions in a database-like repository ⓘ |
| hasGoal |
enable long-term evolution of software without losing intent
ⓘ
improve maintainability of software systems ⓘ reduce accidental complexity in software development ⓘ |
| hasKeyConcept |
domain-specific abstractions
ⓘ
intentional domain ⓘ intentional editor ⓘ intentional tree ⓘ multiple views of the same program ⓘ separation of concerns between intent and realization ⓘ |
| influenced |
Intentional Software Corporation tools
ⓘ
projectional language workbenches ⓘ |
| proposedBy | Charles Simonyi ⓘ |
| relatedTo |
domain-specific language engineering
ⓘ
language workbenches ⓘ model-driven engineering ⓘ program synthesis ⓘ software product lines ⓘ |
| supports |
automatic generation of low-level code from intentions
ⓘ
custom notations for different domains ⓘ editing at the level of abstract syntax ⓘ |
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: Intentional Programming Description of subject: Intentional Programming is a software development paradigm proposed by Charles Simonyi that focuses on capturing programmers’ high-level intentions in a more expressive, domain-specific form than traditional programming languages.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Intentional Programming