Ralph Vaughan Williams’s opera Sir John in Love
E764544
Ralph Vaughan Williams’s opera *Sir John in Love* is a 1929 English-language comic opera based on Shakespeare’s *The Merry Wives of Windsor*, notable for its rich folk-influenced score.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Ralph Vaughan Williams’s opera Sir John in Love canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8900706 — 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: Ralph Vaughan Williams’s opera Sir John in Love Context triple: [Fantasia on Greensleeves, derivedFrom, Ralph Vaughan Williams’s opera Sir John in Love]
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A.
Cantus in Memory of Benjamin Britten
Cantus in Memory of Benjamin Britten is a meditative, minimalist orchestral work for string orchestra and bell composed by Arvo Pärt as an elegy to the British composer Benjamin Britten.
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B.
The Lark Ascending
The Lark Ascending is a lyrical, pastoral piece for solo violin and orchestra by English composer Ralph Vaughan Williams, celebrated for its evocation of birdsong and the English countryside.
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C.
Peter Grimes, Op. 33
Peter Grimes, Op. 33 is an English opera by Benjamin Britten that tells the tragic story of an ostracized fisherman in a small coastal village.
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D.
Britten War Requiem
Britten's War Requiem is a large-scale choral and orchestral work that juxtaposes the traditional Latin Requiem Mass with the anti-war poetry of Wilfred Owen to create a powerful pacifist statement.
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E.
The Rake's Progress
The Rake's Progress is a 20th-century opera by Igor Stravinsky, renowned for its neoclassical style and satirical narrative of moral decline.
- 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: Ralph Vaughan Williams’s opera Sir John in Love Target entity description: Ralph Vaughan Williams’s opera *Sir John in Love* is a 1929 English-language comic opera based on Shakespeare’s *The Merry Wives of Windsor*, notable for its rich folk-influenced score.
-
A.
Cantus in Memory of Benjamin Britten
Cantus in Memory of Benjamin Britten is a meditative, minimalist orchestral work for string orchestra and bell composed by Arvo Pärt as an elegy to the British composer Benjamin Britten.
-
B.
The Lark Ascending
The Lark Ascending is a lyrical, pastoral piece for solo violin and orchestra by English composer Ralph Vaughan Williams, celebrated for its evocation of birdsong and the English countryside.
-
C.
Peter Grimes, Op. 33
Peter Grimes, Op. 33 is an English opera by Benjamin Britten that tells the tragic story of an ostracized fisherman in a small coastal village.
-
D.
Britten War Requiem
Britten's War Requiem is a large-scale choral and orchestral work that juxtaposes the traditional Latin Requiem Mass with the anti-war poetry of Wilfred Owen to create a powerful pacifist statement.
-
E.
The Rake's Progress
The Rake's Progress is a 20th-century opera by Igor Stravinsky, renowned for its neoclassical style and satirical narrative of moral decline.
- F. None of above. chosen
Statements (48)
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: Ralph Vaughan Williams’s opera Sir John in Love Description of subject: Ralph Vaughan Williams’s opera *Sir John in Love* is a 1929 English-language comic opera based on Shakespeare’s *The Merry Wives of Windsor*, notable for its rich folk-influenced score.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.