Hirtengesang. Frohe und dankbare Gefühle nach dem Sturm
E282178
"Hirtengesang. Frohe und dankbare Gefühle nach dem Sturm" is the serene and jubilant final movement of Beethoven’s Sixth Symphony, depicting shepherds’ songs and grateful calm after a storm.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Hirtengesang. Frohe und dankbare Gefühle nach dem Sturm canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T2601266 — 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.
Target entity: Hirtengesang. Frohe und dankbare Gefühle nach dem Sturm Context triple: [Symphony No. 6 in F major, Op. 68 "Pastoral", movement5Title, Hirtengesang. Frohe und dankbare Gefühle nach dem Sturm]
-
A.
Psalm 117
Psalm 117 is the shortest chapter in the Bible, consisting of just two verses that call all nations to praise the Lord for His steadfast love and faithfulness.
-
B.
Stormy Weather
Stormy Weather is a classic 1943 American musical film celebrated for its groundbreaking African American cast and iconic song-and-dance performances.
-
C.
Hail! to the conqu'ring heroes
"Hail! to the conqu'ring heroes" is the famous opening line of the chorus from "The Victors," the fight song of the University of Michigan.
-
D.
Ludwigslied
Ludwigslied is a short Old High German poem, composed in the late 9th century, that praises King Louis III’s victory over the Vikings and is notable as one of the earliest substantial works in the language.
-
E.
Rückert-Lieder
Rückert-Lieder is a song cycle by Gustav Mahler that sets to music several introspective and lyrical poems by Friedrich Rückert for voice and orchestra or piano.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Hirtengesang. Frohe und dankbare Gefühle nach dem Sturm Target entity description: "Hirtengesang. Frohe und dankbare Gefühle nach dem Sturm" is the serene and jubilant final movement of Beethoven’s Sixth Symphony, depicting shepherds’ songs and grateful calm after a storm.
-
A.
Psalm 117
Psalm 117 is the shortest chapter in the Bible, consisting of just two verses that call all nations to praise the Lord for His steadfast love and faithfulness.
-
B.
Stormy Weather
Stormy Weather is a classic 1943 American musical film celebrated for its groundbreaking African American cast and iconic song-and-dance performances.
-
C.
Hail! to the conqu'ring heroes
"Hail! to the conqu'ring heroes" is the famous opening line of the chorus from "The Victors," the fight song of the University of Michigan.
-
D.
Ludwigslied
Ludwigslied is a short Old High German poem, composed in the late 9th century, that praises King Louis III’s victory over the Vikings and is notable as one of the earliest substantial works in the language.
-
E.
Rückert-Lieder
Rückert-Lieder is a song cycle by Gustav Mahler that sets to music several introspective and lyrical poems by Friedrich Rückert for voice and orchestra or piano.
- F. None of above. chosen
Statements (40)
| Predicate | Object |
|---|---|
| instanceOf |
orchestral work movement
ⓘ
symphonic movement ⓘ |
| belongsToCatalogue | Beethoven’s orchestral works ⓘ |
| composer | Ludwig van Beethoven ⓘ |
| depicts |
grateful calm after a storm
ⓘ
pastoral serenity ⓘ shepherds’ songs ⓘ |
| follows |
Gewitter, Sturm
ⓘ
the storm movement of Beethoven’s Sixth Symphony ⓘ |
| genre |
pastoral music
ⓘ
programmatic music ⓘ |
| hasAlternativeDesignation |
Symphony No. 6 in F major, Op. 68 "Pastoral"
ⓘ
surface form:
Fifth movement of the Pastoral Symphony
|
| hasCulturalRole | iconic depiction of pastoral gratitude in symphonic music ⓘ |
| hasForm | sonata-rondo-like form ⓘ |
| hasInstrumentation | orchestra ⓘ |
| hasMood |
jubilant
ⓘ
serene ⓘ thankful ⓘ |
| hasSectionOfWorkType |
coda
ⓘ
development ⓘ recapitulation ⓘ |
| hasStyle | pastoral ⓘ |
| hasSubjectMatter | thanksgiving after danger ⓘ |
| hasTempoMarking | Allegretto ⓘ |
| hasTimePeriod | Classical era ⓘ |
| isFrequentlyPerformedWith | the complete Symphony No. 6 ⓘ |
| key | F major ⓘ |
| languageOfTitle | German ⓘ |
| movementNumber | 5 ⓘ |
| partOf |
Beethoven’s Sixth Symphony
ⓘ
Symphony No. 6 in F major, Op. 68 ⓘ |
| partOfCycle |
Symphony No. 6 in F major, Op. 68 "Pastoral"
ⓘ
surface form:
Pastoral Symphony
|
| positionInWork | final movement ⓘ |
| premiereDate | 22 December 1808 ⓘ |
| premieredWith | Symphony No. 6 in F major, Op. 68 ⓘ |
| premierePlace |
Theater an der Wien
ⓘ
surface form:
Theater an der Wien, Vienna
|
| translatedTitle | Shepherds’ song. Happy and thankful feelings after the storm ⓘ |
| uses |
gentle orchestral textures
ⓘ
lyrical melodic lines ⓘ |
| workOpusNumber | Op. 68 ⓘ |
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.
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.
Subject: Hirtengesang. Frohe und dankbare Gefühle nach dem Sturm Description of subject: "Hirtengesang. Frohe und dankbare Gefühle nach dem Sturm" is the serene and jubilant final movement of Beethoven’s Sixth Symphony, depicting shepherds’ songs and grateful calm after a storm.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.