aria "Ombra mai fu"
E561798
The aria "Ombra mai fu" is a renowned, lyrically serene opening piece from George Frideric Handel’s opera *Serse*, celebrated for its expressive beauty and frequent performance as a standalone concert work.
All labels observed (1)
| Label | Occurrences |
|---|---|
| aria "Ombra mai fu" canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T6006435 — 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: aria "Ombra mai fu" Context triple: [Serse, famousFor, aria "Ombra mai fu"]
-
A.
Pago del Vallo di Lauro
Pago del Vallo di Lauro is a small municipality in the province of Avellino in Italy’s Campania region, known for its location in the historic Vallo di Lauro area.
-
B.
Le Laudi
Le Laudi is a major poetic cycle by Italian writer Gabriele D’Annunzio, celebrating nature, the senses, and human vitality in an ornate, symbolist style.
-
C.
Ohimè dov’è il mio ben
"Ohimè dov’è il mio ben" is a madrigal by Claudio Monteverdi, featured in his Eighth Book of Madrigals, known for its expressive treatment of love and emotional turmoil.
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D.
Camicie Nere
Camicie Nere were the paramilitary Blackshirt squads that served as the violent enforcement arm of the Italian Fascist movement under Benito Mussolini.
-
E.
Quo Fata Ferunt
Quo Fata Ferunt is the Latin national motto of Bermuda, traditionally translated as "Whither the Fates Carry [Us]."
- 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: aria "Ombra mai fu" Target entity description: The aria "Ombra mai fu" is a renowned, lyrically serene opening piece from George Frideric Handel’s opera *Serse*, celebrated for its expressive beauty and frequent performance as a standalone concert work.
-
A.
Pago del Vallo di Lauro
Pago del Vallo di Lauro is a small municipality in the province of Avellino in Italy’s Campania region, known for its location in the historic Vallo di Lauro area.
-
B.
Le Laudi
Le Laudi is a major poetic cycle by Italian writer Gabriele D’Annunzio, celebrating nature, the senses, and human vitality in an ornate, symbolist style.
-
C.
Ohimè dov’è il mio ben
"Ohimè dov’è il mio ben" is a madrigal by Claudio Monteverdi, featured in his Eighth Book of Madrigals, known for its expressive treatment of love and emotional turmoil.
-
D.
Camicie Nere
Camicie Nere were the paramilitary Blackshirt squads that served as the violent enforcement arm of the Italian Fascist movement under Benito Mussolini.
-
E.
Quo Fata Ferunt
Quo Fata Ferunt is the Latin national motto of Bermuda, traditionally translated as "Whither the Fates Carry [Us]."
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
aria
ⓘ
classical composition ⓘ musical work ⓘ |
| associatedWithComposer | George Frideric Handel ⓘ |
| basedOn | Italian libretto adapted from earlier sources ⓘ |
| catalogueNumber |
HWV 40 (within opera Serse)
ⓘ
linked to:
HWV 40
|
| commonTitle | Handel’s Largo ⓘ |
| composer | George Frideric Handel ⓘ |
| countryOfOrigin | Kingdom of Great Britain ⓘ |
| firstPerformanceDate | 1738 ⓘ |
| firstPerformancePlace |
London
ⓘ
linked to:
London, England
|
| firstPerformanceWork | Serse ⓘ |
| frequentlyPerformedAt |
funerals
ⓘ
general classical concerts ⓘ weddings ⓘ |
| genre | opera aria ⓘ |
| hasArrangement |
arrangements for organ
ⓘ
arrangements for piano ⓘ arrangements for string ensemble ⓘ |
| hasRecording | numerous commercial audio recordings ⓘ |
| historicalContext | written for London opera audiences in the 18th century ⓘ |
| language | Italian ⓘ |
| misnomerExplanation | popularly called a Largo although marked Larghetto ⓘ |
| mood |
lyrical
ⓘ
serene ⓘ |
| movementNumber | 1 ⓘ |
| notableFeature |
often performed as a standalone concert piece
ⓘ
one of Handel’s most famous arias ⓘ |
| openingWords | Ombra mai fu ⓘ |
| operaCharacter | Serse ⓘ |
| orchestration |
basso continuo
ⓘ
string orchestra ⓘ |
| originalKey | F major ⓘ |
| partOf | Serse ⓘ |
| period | Baroque ⓘ |
| positionInWork | opening aria ⓘ |
| style | da capo aria (modified) ⓘ |
| subjectMatter | praise of the shade of a plane tree ⓘ |
| sungByCharacter |
Xerxes I of Persia
ⓘ
linked to:
Xerxes I
|
| tempoMarking | larghetto ⓘ |
| textAuthor | Nicola Francesco Haym ⓘ |
| textTheme | contemplation of nature ⓘ |
| typicalPerformanceDuration | about 3 minutes ⓘ |
| vocalRange |
alto castrato
ⓘ
countertenor ⓘ mezzo-soprano ⓘ soprano ⓘ |
| vocalType | solo voice with orchestra ⓘ |
| yearComposed | 1738 ⓘ |
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: aria "Ombra mai fu" Description of subject: The aria "Ombra mai fu" is a renowned, lyrically serene opening piece from George Frideric Handel’s opera *Serse*, celebrated for its expressive beauty and frequent performance as a standalone concert work.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.