I Will Sing You Songs
E837079
"I Will Sing You Songs" is a track by American rock band My Morning Jacket, known for its atmospheric, reverb-heavy sound and emotional, expansive arrangement.
All labels observed (1)
| Label | Occurrences |
|---|---|
| I Will Sing You Songs canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T10030952 — 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: I Will Sing You Songs Context triple: [It Still Moves, hasPart, I Will Sing You Songs]
-
A.
Sing My Songs to Me
"Sing My Songs to Me" is a reflective folk-rock track by Jackson Browne that serves as an introspective prelude to his song "For Everyman."
-
B.
The Song We Were Singing
"The Song We Were Singing" is a reflective, nostalgia-tinged track by Paul McCartney from his 1997 album "Flaming Pie."
-
C.
Sing to Me Instead
Sing to Me Instead is the debut studio album by American singer and actor Ben Platt, showcasing his theatrical pop style and emotionally driven songwriting.
-
D.
Say It with Songs
Say It with Songs is a 1929 American musical drama film starring Al Jolson, known for its early use of synchronized sound and song performances.
-
E.
I Am Your Singer
"I Am Your Singer" is a gentle, melodic song by Paul and Linda McCartney from Wings' early 1970s period.
- 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: I Will Sing You Songs Target entity description: "I Will Sing You Songs" is a track by American rock band My Morning Jacket, known for its atmospheric, reverb-heavy sound and emotional, expansive arrangement.
-
A.
Sing My Songs to Me
"Sing My Songs to Me" is a reflective folk-rock track by Jackson Browne that serves as an introspective prelude to his song "For Everyman."
-
B.
The Song We Were Singing
"The Song We Were Singing" is a reflective, nostalgia-tinged track by Paul McCartney from his 1997 album "Flaming Pie."
-
C.
Sing to Me Instead
Sing to Me Instead is the debut studio album by American singer and actor Ben Platt, showcasing his theatrical pop style and emotionally driven songwriting.
-
D.
Say It with Songs
Say It with Songs is a 1929 American musical drama film starring Al Jolson, known for its early use of synchronized sound and song performances.
-
E.
I Am Your Singer
"I Am Your Singer" is a gentle, melodic song by Paul and Linda McCartney from Wings' early 1970s period.
- F. None of above. chosen
Statements (29)
| Predicate | Object |
|---|---|
| instanceOf | song ⓘ |
| artist | My Morning Jacket NERFINISHED ⓘ |
| composer | My Morning Jacket NERFINISHED ⓘ |
| countryOfOrigin |
United States of America
ⓘ
surface form:
United States
|
| genre |
alternative rock
ⓘ
indie rock ⓘ rock ⓘ |
| hasAudience |
fans of My Morning Jacket
ⓘ
fans of atmospheric rock ⓘ |
| hasInstrumentation |
bass guitar
ⓘ
drums ⓘ electric guitar ⓘ keyboards ⓘ vocals ⓘ |
| hasMood |
emotional
ⓘ
introspective ⓘ melancholic ⓘ |
| hasMusicalCharacteristic |
atmospheric sound
ⓘ
emotional arrangement ⓘ expansive arrangement ⓘ reverb-heavy production ⓘ |
| hasProductionFeature |
heavy use of reverb
ⓘ
spacious soundscape ⓘ |
| hasStructure | extended arrangement ⓘ |
| hasStyle | atmospheric rock ballad ⓘ |
| hasTempo | slow to mid-tempo ⓘ |
| language | English ⓘ |
| partOf | My Morning Jacket discography NERFINISHED ⓘ |
| performer | My Morning Jacket NERFINISHED ⓘ |
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: I Will Sing You Songs Description of subject: "I Will Sing You Songs" is a track by American rock band My Morning Jacket, known for its atmospheric, reverb-heavy sound and emotional, expansive arrangement.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.