Martin Suter
E680444
Martin Suter is a Swiss author best known for his popular contemporary novels and crime fiction, including the successful "Business Class" stories and the Allmen detective series.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Martin Suter canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7386807 — 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: Martin Suter Context triple: [Suter, hasNotableBearer, Martin Suter]
-
A.
Christoph Riggenbach
Christoph Riggenbach was a Swiss architect known for designing the Kunstmuseum Basel, one of the oldest public art collections in the world.
-
B.
Andreas Maurer
Andreas Maurer was a mountaineer known for making the first recorded ascent of the Alpine peak Mont Maudit in the Mont Blanc massif.
-
C.
Roger Wehrli
Roger Wehrli is a Hall of Fame American football cornerback best known for his standout career with the St. Louis Cardinals in the NFL during the 1970s.
-
D.
Peter Weibel
Peter Weibel was an influential Austrian artist, curator, and media theorist known for his pioneering work in conceptual and media art and his leadership roles in major European art institutions.
-
E.
Thomas Häßler
Thomas Häßler is a former German attacking midfielder renowned for his playmaking skills and key role in Germany’s 1990 World Cup and Euro 1996 triumphs.
- 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: Martin Suter Target entity description: Martin Suter is a Swiss author best known for his popular contemporary novels and crime fiction, including the successful "Business Class" stories and the Allmen detective series.
-
A.
Christoph Riggenbach
Christoph Riggenbach was a Swiss architect known for designing the Kunstmuseum Basel, one of the oldest public art collections in the world.
-
B.
Andreas Maurer
Andreas Maurer was a mountaineer known for making the first recorded ascent of the Alpine peak Mont Maudit in the Mont Blanc massif.
-
C.
Roger Wehrli
Roger Wehrli is a Hall of Fame American football cornerback best known for his standout career with the St. Louis Cardinals in the NFL during the 1970s.
-
D.
Peter Weibel
Peter Weibel was an influential Austrian artist, curator, and media theorist known for his pioneering work in conceptual and media art and his leadership roles in major European art institutions.
-
E.
Thomas Häßler
Thomas Häßler is a former German attacking midfielder renowned for his playmaking skills and key role in Germany’s 1990 World Cup and Euro 1996 triumphs.
- F. None of above. chosen
Statements (42)
| Predicate | Object |
|---|---|
| instanceOf |
columnist
ⓘ
human ⓘ novelist ⓘ screenwriter ⓘ |
| countryOfBirth | Switzerland ⓘ |
| countryOfCitizenship | Switzerland ⓘ |
| dateOfBirth | 1948-02-29 ⓘ |
| genre |
contemporary fiction
ⓘ
crime fiction ⓘ detective fiction ⓘ |
| hasWritten |
columns
ⓘ
novels ⓘ short stories ⓘ |
| languageOfWorkOrName | German ⓘ |
| nationality | Swiss ⓘ |
| notableAward |
Deutscher Krimi Preis
ⓘ
Zürcher Literaturpreis ⓘ |
| notableWork |
Allmen series
ⓘ
Allmen und der rosa Diamant ⓘ Allmen und die Dahlien ⓘ Allmen und die Erotik ⓘ Allmen und die Libellen ⓘ Allmen und die verschwundene María ⓘ Business Class ⓘ Der Koch ⓘ Die dunkle Seite des Mondes ⓘ Elefant ⓘ Lila, Lila ⓘ Montecristo ⓘ Small World ⓘ |
| occupation |
columnist
ⓘ
novelist ⓘ screenwriter ⓘ writer ⓘ |
| placeOfBirth | Zurich ⓘ |
| series |
Allmen
ⓘ
Business Class ⓘ |
| workFocus |
business world
ⓘ
contemporary society ⓘ psychological themes ⓘ |
| writingPeriod |
21st century
ⓘ
late 20th century ⓘ |
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: Martin Suter Description of subject: Martin Suter is a Swiss author best known for his popular contemporary novels and crime fiction, including the successful "Business Class" stories and the Allmen detective series.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.