Mrs Brown
E303062
Mrs Brown is a 1997 British historical drama film about the close relationship between Queen Victoria and her Scottish servant John Brown.
All labels observed (5)
| Label | Occurrences |
|---|---|
| Mrs Brown canonical | 10 |
| Her Majesty, Mrs Brown | 1 |
| Mrs Brown (television screenplay) | 1 |
| Mrs. Brown (1997 film) | 1 |
| Queen Victoria in Mrs Brown | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2850279 — 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: Mrs Brown Context triple: [John Madden, notableWork, Mrs Brown]
-
A.
Love, Rosie
Love, Rosie is a 2014 romantic comedy-drama film based on Cecelia Ahern’s novel "Where Rainbows End," following the lifelong, will-they-won’t-they relationship between two best friends.
-
B.
Gavin & Stacey
Gavin & Stacey is a popular British television sitcom that follows the long-distance relationship and eventual marriage of an Essex man and a Welsh woman, along with the comedic interactions of their eccentric families and friends.
-
C.
Made in Dagenham
Made in Dagenham is a British film dramatizing the 1968 Ford sewing machinists' strike, a landmark event in the fight for equal pay for women in the UK.
-
D.
The Butler
The Butler is a 2013 historical drama film that follows an African-American butler who serves in the White House across several presidential administrations, exploring civil rights and social change in the United States.
-
E.
Keeping Mum
Keeping Mum is a 2005 British black comedy film about a dysfunctional vicar’s family whose lives are upended by the arrival of a mysterious housekeeper.
- 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: Mrs Brown Target entity description: Mrs Brown is a 1997 British historical drama film about the close relationship between Queen Victoria and her Scottish servant John Brown.
-
A.
Love, Rosie
Love, Rosie is a 2014 romantic comedy-drama film based on Cecelia Ahern’s novel "Where Rainbows End," following the lifelong, will-they-won’t-they relationship between two best friends.
-
B.
Gavin & Stacey
Gavin & Stacey is a popular British television sitcom that follows the long-distance relationship and eventual marriage of an Essex man and a Welsh woman, along with the comedic interactions of their eccentric families and friends.
-
C.
Made in Dagenham
Made in Dagenham is a British film dramatizing the 1968 Ford sewing machinists' strike, a landmark event in the fight for equal pay for women in the UK.
-
D.
The Butler
The Butler is a 2013 historical drama film that follows an African-American butler who serves in the White House across several presidential administrations, exploring civil rights and social change in the United States.
-
E.
Keeping Mum
Keeping Mum is a 2005 British black comedy film about a dysfunctional vicar’s family whose lives are upended by the arrival of a mysterious housekeeper.
- F. None of above. chosen
Statements (47)
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: Mrs Brown Description of subject: Mrs Brown is a 1997 British historical drama film about the close relationship between Queen Victoria and her Scottish servant John Brown.
Referenced by (14)
Full triples — surface form annotated when it differs from this entity's canonical label.