Mrs. Munro
E819763
Mrs. Munro is a housekeeper and caretaker who works for an aging Sherlock Holmes in the film "Mr. Holmes."
All labels observed (1)
| Label | Occurrences |
|---|---|
| Mrs. Munro canonical | 1 |
Statements (16)
| Predicate | Object |
|---|---|
| instanceOf |
fictional character
ⓘ
film character ⓘ |
| adaptationOf | A Slight Trick of the Mind NERFINISHED ⓘ |
| appearsIn | Mr. Holmes NERFINISHED ⓘ |
| basedOnWork | A Slight Trick of the Mind NERFINISHED ⓘ |
| caresFor | aging Sherlock Holmes ⓘ |
| countryOfOrigin | United Kingdom ⓘ |
| employer | Sherlock Holmes NERFINISHED ⓘ |
| fictionalUniverse | Sherlock Holmes NERFINISHED ⓘ |
| genre |
drama film character
ⓘ
mystery film character ⓘ |
| languageOfWorkOrName | English ⓘ |
| medium | film ⓘ |
| occupation |
caretaker
ⓘ
housekeeper ⓘ |
| workLocation | rural Sussex ⓘ |
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. Munro Description of subject: Mrs. Munro is a housekeeper and caretaker who works for an aging Sherlock Holmes in the film "Mr. Holmes."
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Mr. Holmes