Kai Wiesinger
E577095
Kai Wiesinger is a German actor known for his roles in film and television, often appearing in historical dramas and popular German cinema.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Kai Wiesinger canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6217191 — 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: Kai Wiesinger Context triple: [Comedian Harmonists (film), stars, Kai Wiesinger]
-
A.
Sebastian Knapp
Sebastian Knapp is an actor best known for his role in the 2013 television miniseries adaptation of the Bible.
-
B.
Matthias Kleinheisterkamp
Matthias Kleinheisterkamp was a high-ranking Waffen-SS officer and division commander during World War II who served in several key SS formations on the Eastern and Western Fronts.
-
C.
Maximilian Bittner
Maximilian Bittner is a German entrepreneur best known as the founding CEO of Lazada, a major Southeast Asian e-commerce platform.
-
D.
Sven Wagner
Sven Wagner is a German local politician who serves as the mayor of the town of Aschersleben in Saxony-Anhalt.
-
E.
Jonas Schneider
Jonas Schneider is a researcher in reinforcement learning best known for co-authoring the Hindsight Experience Replay technique for more efficient learning from sparse rewards.
- 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: Kai Wiesinger Target entity description: Kai Wiesinger is a German actor known for his roles in film and television, often appearing in historical dramas and popular German cinema.
-
A.
Sebastian Knapp
Sebastian Knapp is an actor best known for his role in the 2013 television miniseries adaptation of the Bible.
-
B.
Matthias Kleinheisterkamp
Matthias Kleinheisterkamp was a high-ranking Waffen-SS officer and division commander during World War II who served in several key SS formations on the Eastern and Western Fronts.
-
C.
Maximilian Bittner
Maximilian Bittner is a German entrepreneur best known as the founding CEO of Lazada, a major Southeast Asian e-commerce platform.
-
D.
Sven Wagner
Sven Wagner is a German local politician who serves as the mayor of the town of Aschersleben in Saxony-Anhalt.
-
E.
Jonas Schneider
Jonas Schneider is a researcher in reinforcement learning best known for co-authoring the Hindsight Experience Replay technique for more efficient learning from sparse rewards.
- F. None of above. chosen
Statements (33)
| Predicate | Object |
|---|---|
| instanceOf |
German actor
ⓘ
film actor ⓘ human ⓘ television actor ⓘ |
| activeIn |
20th-century German film
ⓘ
20th-century German television ⓘ 21st-century German film ⓘ 21st-century German television ⓘ |
| countryOfCitizenship | Germany ⓘ |
| fieldOfWork |
film
ⓘ
historical drama ⓘ television ⓘ |
| genre |
comedy
ⓘ
drama ⓘ historical film ⓘ |
| languageOfWorkOrName | German ⓘ |
| notableFor |
roles in German historical dramas
ⓘ
roles in popular German cinema ⓘ |
| notableWork |
14 Tage lebenslänglich
NERFINISHED
ⓘ
Comedian Harmonists NERFINISHED ⓘ Das Wunder von Lengede NERFINISHED ⓘ Der König von St. Pauli NERFINISHED ⓘ Der Lack ist ab NERFINISHED ⓘ Der Rücktritt ⓘ Der bewegte Mann NERFINISHED ⓘ Deutschland 83 NERFINISHED ⓘ Die Dasslers – Pioniere, Brüder und Rivalen NERFINISHED ⓘ Die Luftbrücke – Nur der Himmel war frei NERFINISHED ⓘ Die Spiegel-Affäre NERFINISHED ⓘ Die Sturmflut NERFINISHED ⓘ |
| occupation | actor ⓘ |
| sexOrGender | male ⓘ |
| workLocation | Germany ⓘ |
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: Kai Wiesinger Description of subject: Kai Wiesinger is a German actor known for his roles in film and television, often appearing in historical dramas and popular German cinema.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Comedian Harmonists (film)