Lars Magne
E1017770
Lars Magne is a Norwegian software developer best known for his work on the Gnus newsreader and contributions to the Emacs community.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Lars Magne canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T12900844 — 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: Lars Magne Context triple: [Lars Magne Ingebrigtsen, givenName, Lars Magne]
-
A.
Sverre Magnus
Sverre Magnus is a Norwegian prince, the son of Crown Prince Haakon and Crown Princess Mette-Marit and third in line to the Norwegian throne.
-
B.
Haakon Sigurdsson
Haakon Sigurdsson was a powerful late 10th-century Norwegian earl who effectively ruled Norway as a pagan overlord under Danish suzerainty before the country's Christianization.
-
C.
Haakon
Haakon is a Scandinavian male given name of Old Norse origin, traditionally borne by Norwegian kings and other notable figures.
-
D.
Håkon
Håkon is one of the official mascots of the 1994 Winter Olympics held in Lillehammer, Norway, depicted as a Norwegian child symbolizing the country’s heritage and Olympic spirit.
-
E.
Haakon Magnus
Haakon Magnus is the Crown Prince of Norway and heir apparent to the Norwegian throne.
- 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: Lars Magne Target entity description: Lars Magne is a Norwegian software developer best known for his work on the Gnus newsreader and contributions to the Emacs community.
-
A.
Sverre Magnus
Sverre Magnus is a Norwegian prince, the son of Crown Prince Haakon and Crown Princess Mette-Marit and third in line to the Norwegian throne.
-
B.
Haakon Sigurdsson
Haakon Sigurdsson was a powerful late 10th-century Norwegian earl who effectively ruled Norway as a pagan overlord under Danish suzerainty before the country's Christianization.
-
C.
Haakon
Haakon is a Scandinavian male given name of Old Norse origin, traditionally borne by Norwegian kings and other notable figures.
-
D.
Håkon
Håkon is one of the official mascots of the 1994 Winter Olympics held in Lillehammer, Norway, depicted as a Norwegian child symbolizing the country’s heritage and Olympic spirit.
-
E.
Haakon Magnus
Haakon Magnus is the Crown Prince of Norway and heir apparent to the Norwegian throne.
- F. None of above. chosen
Statements (26)
| Predicate | Object |
|---|---|
| instanceOf |
person
ⓘ
software developer ⓘ |
| areaOfInfluence |
Emacs ecosystem
ⓘ
linked to:
Emacs package ecosystem
free software community ⓘ |
| community | Emacs community ⓘ |
| contributedTo |
Emacs
ⓘ
linked to:
GNU Emacs
Gnus ⓘ |
| countryOfCitizenship | Norway ⓘ |
| fieldOfWork |
free software
ⓘ
software development ⓘ text editors ⓘ |
| knownFor |
contributions to the Emacs community
ⓘ
work on the Gnus newsreader ⓘ |
| languageOfWork |
English
ⓘ
Norwegian ⓘ |
| nationality | Norwegian ⓘ |
| notableWork | Gnus ⓘ |
| occupation | software developer ⓘ |
| programmingEnvironment |
Emacs
ⓘ
linked to:
GNU Emacs
|
| programmingLanguage |
Emacs Lisp
ⓘ
linked to:
Emacs Lisp (for GNU Emacs environment)
|
| softwareDomain |
Usenet news
ⓘ
linked to:
Usenet
email ⓘ |
| softwareProject |
Gnus newsreader
ⓘ
linked to:
Gnus
|
| softwareTypeWorkedOn |
email and news clients
ⓘ
newsreader software ⓘ |
| toolUsed |
Emacs Lisp
ⓘ
linked to:
Emacs Lisp (for GNU Emacs environment)
|
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: Lars Magne Description of subject: Lars Magne is a Norwegian software developer best known for his work on the Gnus newsreader and contributions to the Emacs community.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.