Zhou Xun
E598924
Zhou Xun is a renowned Chinese actress and singer celebrated for her versatile performances in film and television and regarded as one of the leading figures of contemporary Chinese cinema.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Zhou Xun canonical | 2 |
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
Chinese actress
ⓘ
human ⓘ |
| activeIn |
Chinese cinema
ⓘ
Chinese television ⓘ |
| awardReceived |
Asian Film Award for Best Actress
NERFINISHED
ⓘ
Golden Horse Award for Best Leading Actress NERFINISHED ⓘ Golden Horse Award for Best Supporting Actress NERFINISHED ⓘ Golden Rooster Award for Best Actress NERFINISHED ⓘ Hong Kong Film Award for Best Actress NERFINISHED ⓘ Hundred Flowers Award for Best Actress NERFINISHED ⓘ |
| countryOfCitizenship | China ⓘ |
| describedAs | one of the leading figures of contemporary Chinese cinema ⓘ |
| familyName | Zhou NERFINISHED ⓘ |
| fieldOfWork |
Mandopop music
ⓘ
film acting ⓘ television acting ⓘ |
| gender | female ⓘ |
| genre | pop music ⓘ |
| givenName | Xun NERFINISHED ⓘ |
| hasWorkType |
feature film
ⓘ
music album ⓘ soundtrack recording ⓘ television series ⓘ |
| languageSpoken | Mandarin Chinese NERFINISHED ⓘ |
| name | Zhou Xun NERFINISHED ⓘ |
| nationality | Chinese ⓘ |
| nativeName | 周迅 NERFINISHED ⓘ |
| notableAchievement | one of the Four Dan Actresses of China ⓘ |
| notableRole |
Jiu'er in Red Sorghum (TV series)
NERFINISHED
ⓘ
Ruyi in Ruyi's Royal Love in the Palace NERFINISHED ⓘ |
| notableWork |
Balzac and the Little Chinese Seamstress
NERFINISHED
ⓘ
Cloud Atlas NERFINISHED ⓘ Our Time Will Come NERFINISHED ⓘ Painted Skin NERFINISHED ⓘ Painted Skin: The Resurrection NERFINISHED ⓘ Perhaps Love NERFINISHED ⓘ Red Sorghum (TV series) NERFINISHED ⓘ Ruyi's Royal Love in the Palace NERFINISHED ⓘ Suzhou River NERFINISHED ⓘ The Banquet NERFINISHED ⓘ The Equation of Love and Death NERFINISHED ⓘ The Message NERFINISHED ⓘ |
| occupation |
actress
ⓘ
film actress ⓘ singer ⓘ television actress ⓘ |
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: Zhou Xun Description of subject: Zhou Xun is a renowned Chinese actress and singer celebrated for her versatile performances in film and television and regarded as one of the leading figures of contemporary Chinese cinema.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.