The Duchess of Duke Street
E587189
The Duchess of Duke Street is a British period drama television series set in Edwardian London, loosely based on the life of hotelier Rosa Lewis and her rise from servant to renowned proprietor.
All labels observed (1)
| Label | Occurrences |
|---|---|
| The Duchess of Duke Street canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6354521 — 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: The Duchess of Duke Street Context triple: [Gemma Jones, notableWork, The Duchess of Duke Street]
-
A.
The Duchess
The Duchess is a 2008 historical drama film in which Keira Knightley portrays 18th-century aristocrat Georgiana Cavendish, Duchess of Devonshire.
-
B.
Miss Sophia Grey
Miss Sophia Grey is a wealthy, fashionable young woman in Jane Austen’s novel "Sense and Sensibility," known for becoming engaged to the charming but mercenary John Willoughby.
-
C.
Fanny by Gaslight
Fanny by Gaslight is a 1944 British melodrama film, based on Michael Sadleir’s novel, that follows a young woman’s coming-of-age amid scandal and social hypocrisy in Victorian London.
-
D.
Riding to Vanity Fair
"Riding to Vanity Fair" is a reflective, melancholic song by Paul McCartney from his 2005 album *Chaos and Creation in the Backyard*.
-
E.
Mrs Proudie
Mrs Proudie is the domineering, morally rigid bishop’s wife in Anthony Trollope’s Barsetshire novels, noted for her overbearing influence on church and social affairs.
- 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: The Duchess of Duke Street Target entity description: The Duchess of Duke Street is a British period drama television series set in Edwardian London, loosely based on the life of hotelier Rosa Lewis and her rise from servant to renowned proprietor.
-
A.
The Duchess
The Duchess is a 2008 historical drama film in which Keira Knightley portrays 18th-century aristocrat Georgiana Cavendish, Duchess of Devonshire.
-
B.
Miss Sophia Grey
Miss Sophia Grey is a wealthy, fashionable young woman in Jane Austen’s novel "Sense and Sensibility," known for becoming engaged to the charming but mercenary John Willoughby.
-
C.
Fanny by Gaslight
Fanny by Gaslight is a 1944 British melodrama film, based on Michael Sadleir’s novel, that follows a young woman’s coming-of-age amid scandal and social hypocrisy in Victorian London.
-
D.
Riding to Vanity Fair
"Riding to Vanity Fair" is a reflective, melancholic song by Paul McCartney from his 2005 album *Chaos and Creation in the Backyard*.
-
E.
Mrs Proudie
Mrs Proudie is the domineering, morally rigid bishop’s wife in Anthony Trollope’s Barsetshire novels, noted for her overbearing influence on church and social affairs.
- F. None of above. chosen
Statements (48)
| Predicate | Object |
|---|---|
| instanceOf | British television series ⓘ |
| basedOn | life of Rosa Lewis ⓘ |
| broadcastFormat | serial drama ⓘ |
| countryOfOrigin | United Kingdom ⓘ |
| creator | John Hawkesworth NERFINISHED ⓘ |
| depicts |
British class system
ⓘ
Edwardian society ⓘ |
| filmingLocation | United Kingdom ⓘ |
| firstAired | 1976 ⓘ |
| firstAiredOnChannel | BBC One NERFINISHED ⓘ |
| genre |
historical drama
ⓘ
period drama ⓘ |
| hasAudience | adult viewers ⓘ |
| hasBroadcastDecade | 1970s ⓘ |
| hasBroadcastMedium | television ⓘ |
| hasCharacterType |
aristocratic guests
ⓘ
domestic servants ⓘ |
| hasHistoricalBasis | Edwardian London hotel trade ⓘ |
| hasHomeMediaRelease | DVD ⓘ |
| hasMediaType | television series ⓘ |
| hasProductionType | BBC drama ⓘ |
| hasRuntimePerEpisodeApprox | 50 minutes ⓘ |
| hasTitleCharacter | Louisa Trotter NERFINISHED ⓘ |
| isFictionalizationOf | Rosa Lewis NERFINISHED ⓘ |
| language | English ⓘ |
| lastAired | 1977 ⓘ |
| mainCharacter | Louisa Trotter NERFINISHED ⓘ |
| numberOfEpisodes | 31 ⓘ |
| numberOfSeasons | 2 ⓘ |
| numberOfSeries | 2 ⓘ |
| originalLanguage | English ⓘ |
| originallyBroadcastBy | BBC NERFINISHED ⓘ |
| originalNetwork | BBC One ⓘ |
| originalRunEndYear | 1977 ⓘ |
| originalRunStartYear | 1976 ⓘ |
| portrays | rise of a servant to hotel proprietor ⓘ |
| productionCompany | BBC ⓘ |
| protagonistBasedOn | Rosa Lewis NERFINISHED ⓘ |
| protagonistOccupation |
cook
ⓘ
hotelier ⓘ |
| setInTime | early 20th century ⓘ |
| settingLocation |
London, England
ⓘ
surface form:
London
|
| settingPeriod | Edwardian era NERFINISHED ⓘ |
| stars |
Christopher Cazenove
NERFINISHED
ⓘ
Gemma Jones NERFINISHED ⓘ |
| theme |
hospitality industry
ⓘ
social mobility ⓘ women in business ⓘ |
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: The Duchess of Duke Street Description of subject: The Duchess of Duke Street is a British period drama television series set in Edwardian London, loosely based on the life of hotelier Rosa Lewis and her rise from servant to renowned proprietor.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.