Gnus
E59588
Gnus is a flexible and extensible message reader for news and email, tightly integrated with the Emacs text editor.
All labels observed (4)
| Label | Occurrences |
|---|---|
| Gnus canonical | 8 |
| Gnus newsreader | 2 |
| Emacs Gnus | 1 |
| Gmane | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T477754 — 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: Gnus Context triple: [GNU Emacs, notableComponent, Gnus]
-
A.
Bolt Beranek and Newman
Bolt Beranek and Newman was a pioneering American research and engineering firm best known for its foundational role in developing the ARPANET, a precursor to the modern internet.
-
B.
Grok
Grok is an AI chatbot developed by xAI, designed to provide conversational access to real-time information and reasoning capabilities.
-
C.
Jerome
Jerome was an early Christian scholar and theologian best known for translating the Bible into Latin (the Vulgate) and for his influential biblical commentaries.
-
D.
Ficker
Ficker is the birth surname of renowned American ballerina Suzanne Farrell, one of the most celebrated muses of choreographer George Balanchine.
-
E.
Soral
Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
- 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: Gnus Target entity description: Gnus is a flexible and extensible message reader for news and email, tightly integrated with the Emacs text editor.
-
A.
Bolt Beranek and Newman
Bolt Beranek and Newman was a pioneering American research and engineering firm best known for its foundational role in developing the ARPANET, a precursor to the modern internet.
-
B.
Grok
Grok is an AI chatbot developed by xAI, designed to provide conversational access to real-time information and reasoning capabilities.
-
C.
Jerome
Jerome was an early Christian scholar and theologian best known for translating the Bible into Latin (the Vulgate) and for his influential biblical commentaries.
-
D.
Ficker
Ficker is the birth surname of renowned American ballerina Suzanne Farrell, one of the most celebrated muses of choreographer George Balanchine.
-
E.
Soral
Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf |
Emacs package
ⓘ
email client ⓘ message reader ⓘ news client ⓘ |
| developer | Lars Magne Ingebrigtsen ⓘ |
| integratedWith |
Emacs
ⓘ
linked to:
Emacs family of editors
|
| license | GNU General Public License ⓘ |
| nameOrigin | recursive acronym "Gnus is Not Unix Shell" (humorous backronym often cited) ⓘ |
| partOf |
GNU project
ⓘ
linked to:
GNU Project
|
| programmingLanguage |
Emacs Lisp
ⓘ
linked to:
Emacs Lisp (for GNU Emacs environment)
|
| runsOn |
GNU Emacs
ⓘ
XEmacs ⓘ |
| softwareGenre |
mail user agent
ⓘ
newsreader ⓘ |
| supportsFeature |
MIME handling
ⓘ
article buffer customization ⓘ asynchronous fetching of articles ⓘ charset and encoding handling ⓘ customizable keybindings ⓘ encryption via GnuPG integration ⓘ expiring old messages ⓘ group parameters for per-group behavior ⓘ group splitting rules ⓘ hooks for user extensions ⓘ integration with Emacs address book ⓘ kill files for ignoring threads ⓘ mail splitting into groups ⓘ mailing list management ⓘ message filtering ⓘ multiple back ends for mail and news ⓘ multiple identities ⓘ offline reading ⓘ pluggable back ends (nnml, nnimap, nntp, etc.) ⓘ posting styles per group ⓘ scoring based on authors and subjects ⓘ scoring system for messages ⓘ search across groups ⓘ server definitions for different back ends ⓘ spam filtering integration ⓘ summary buffer customization ⓘ threaded message viewing ⓘ virtual groups ⓘ |
| supportsProtocol |
Atom
ⓘ
IMAP ⓘ NNTP ⓘ POP3 ⓘ RSS ⓘ SMTP ⓘ |
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: Gnus Description of subject: Gnus is a flexible and extensible message reader for news and email, tightly integrated with the Emacs text editor.
Referenced by (12)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Gnus
linked to: Gnus
linked to: Gnus
linked to: Gnus