TeachText
E38942
TeachText was a simple text-editing application bundled with early versions of the classic Mac OS, primarily used for reading documentation and creating basic text files.
All labels observed (1)
| Label | Occurrences |
|---|---|
| TeachText canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T299875 — 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: TeachText Context triple: [Classic Mac OS, includedApplication, TeachText]
-
A.
OpenLearning
OpenLearning is an online education platform that hosts and delivers massive open online courses (MOOCs) from institutions and educators worldwide.
-
B.
Wikibooks
Wikibooks is a Wikimedia Foundation project that hosts collaboratively written, free-content textbooks and instructional guides.
-
C.
Diccionario del estudiante
Diccionario del estudiante is a Spanish-language dictionary created by the Royal Spanish Academy specifically tailored to the needs and usage of students.
-
D.
Reading
Reading is a major town in Berkshire, England, known as a key commercial and transport hub in the Thames Valley.
-
E.
French Without Tears
French Without Tears is a light-hearted 1936 stage comedy by British playwright Terence Rattigan, centered on young adults struggling with language lessons and romantic entanglements at a French seaside school.
- 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: TeachText Target entity description: TeachText was a simple text-editing application bundled with early versions of the classic Mac OS, primarily used for reading documentation and creating basic text files.
-
A.
OpenLearning
OpenLearning is an online education platform that hosts and delivers massive open online courses (MOOCs) from institutions and educators worldwide.
-
B.
Wikibooks
Wikibooks is a Wikimedia Foundation project that hosts collaboratively written, free-content textbooks and instructional guides.
-
C.
Diccionario del estudiante
Diccionario del estudiante is a Spanish-language dictionary created by the Royal Spanish Academy specifically tailored to the needs and usage of students.
-
D.
Reading
Reading is a major town in Berkshire, England, known as a key commercial and transport hub in the Thames Valley.
-
E.
French Without Tears
French Without Tears is a light-hearted 1936 stage comedy by British playwright Terence Rattigan, centered on young adults struggling with language lessons and romantic entanglements at a French seaside school.
- F. None of above. chosen
Statements (27)
| Predicate | Object |
|---|---|
| instanceOf |
classic Mac OS application
ⓘ
text editor software ⓘ |
| bundledWith | early versions of classic Mac OS ⓘ |
| category |
Macintosh-only software
ⓘ
discontinued software ⓘ |
| developer |
Apple Inc.
ⓘ
surface form:
Apple Computer
|
| distributionModel | bundled software ⓘ |
| fileFormatSupport | plain text ⓘ |
| historicalRole | default simple text editor on early Macintosh systems ⓘ |
| includedWith | many third-party Macintosh applications as a viewer for documentation ⓘ |
| license | proprietary software ⓘ |
| operatingSystem | Classic Mac OS ⓘ |
| platform |
Apple Macintosh computers
ⓘ
surface form:
Macintosh
|
| primaryUse |
creating basic text files
ⓘ
reading documentation ⓘ |
| replacedBy | SimpleText ⓘ |
| softwareGenre | text editor ⓘ |
| successor | SimpleText ⓘ |
| supportsClipboard | yes ⓘ |
| supportsFonts | limited font handling ⓘ |
| supportsFormatting | no rich text formatting ⓘ |
| supportsImages | no embedded images ⓘ |
| supportsPrinting | yes ⓘ |
| targetUsers | general Macintosh users ⓘ |
| typicalUseCase |
editing small notes
ⓘ
viewing Read Me files ⓘ |
| userInterface | graphical user interface ⓘ |
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: TeachText Description of subject: TeachText was a simple text-editing application bundled with early versions of the classic Mac OS, primarily used for reading documentation and creating basic text files.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.