Low Shoulder
E807900
Low Shoulder is the fictional indie rock band in the 2009 horror-comedy film "Jennifer's Body," whose members play a central role in the movie's demonic and tragic events.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Low Shoulder canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9565514 — 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: Low Shoulder Context triple: [Jennifer's Body, featuresBand, Low Shoulder]
-
A.
LOWW
LOWW is the ICAO airport code for Vienna International Airport, the main international gateway serving Vienna, Austria.
-
B.
Low
"Low" is a 2007 hip hop single by Flo Rida featuring T-Pain that became a massive commercial hit and club anthem, widely recognized for its catchy hook and dance-floor popularity.
-
C.
Low
Low is an American indie rock band from Duluth, Minnesota, known for their minimalist, slow-tempo sound and hushed vocal harmonies often associated with the "slowcore" genre.
-
D.
Low Mass
Low Mass is a simpler, typically quieter form of the traditional Latin Tridentine Mass celebrated by a priest with minimal ceremonial and usually without music.
-
E.
LBP
LBP is the official currency code for the Lebanese pound, the national currency of Lebanon.
- 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: Low Shoulder Target entity description: Low Shoulder is the fictional indie rock band in the 2009 horror-comedy film "Jennifer's Body," whose members play a central role in the movie's demonic and tragic events.
-
A.
LOWW
LOWW is the ICAO airport code for Vienna International Airport, the main international gateway serving Vienna, Austria.
-
B.
Low
"Low" is a 2007 hip hop single by Flo Rida featuring T-Pain that became a massive commercial hit and club anthem, widely recognized for its catchy hook and dance-floor popularity.
-
C.
Low
Low is an American indie rock band from Duluth, Minnesota, known for their minimalist, slow-tempo sound and hushed vocal harmonies often associated with the "slowcore" genre.
-
D.
Low Mass
Low Mass is a simpler, typically quieter form of the traditional Latin Tridentine Mass celebrated by a priest with minimal ceremonial and usually without music.
-
E.
LBP
LBP is the official currency code for the Lebanese pound, the national currency of Lebanon.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
fictional music group
ⓘ
indie rock band ⓘ |
| actualMoralStatusInFilm | villainous ⓘ |
| appearsIn | Jennifer's Body NERFINISHED ⓘ |
| associatedWithCharacter |
Chip Dove
NERFINISHED
ⓘ
Jennifer Check NERFINISHED ⓘ Needy Lesnicki NERFINISHED ⓘ |
| associatedWithTheme |
exploitation
ⓘ
fame at any cost ⓘ satanic panic satire ⓘ |
| benefitsFrom | fire at Melody Lane bar ⓘ |
| causeOf | Jennifer Check's demonic transformation ⓘ |
| connectedTo | occult practices in the film ⓘ |
| countryOfOrigin |
United States of America
ⓘ
surface form:
United States
|
| createdBy | Diablo Cody NERFINISHED ⓘ |
| diegeticMusic | Through the Trees NERFINISHED ⓘ |
| fictionalStatus | non-existent outside the film's narrative ⓘ |
| fictionalTimeline | events concurrent with Devil's Kettle tragedy ⓘ |
| filmReleaseYear | 2009 ⓘ |
| frontmanPortrayedBy | Adam Brody NERFINISHED ⓘ |
| genre | indie rock ⓘ |
| goalInStory | achieve mainstream success ⓘ |
| hasFandomWithinStory | students of Devil's Kettle High School ⓘ |
| hasLeader | Nikolai Wolf NERFINISHED ⓘ |
| hasMember |
Dirk
NERFINISHED
ⓘ
Greg NERFINISHED ⓘ Nikolai Wolf NERFINISHED ⓘ |
| hasTypeOfMembers | male musicians ⓘ |
| influences | public perception of the Devil's Kettle tragedy in the film ⓘ |
| languageOfLyrics | English ⓘ |
| marketingElementOf | Jennifer's Body promotional campaign ⓘ |
| medium | film ⓘ |
| narrativeFunction | catalyst for horror events ⓘ |
| narrativeUniverse | Jennifer's Body (film universe) NERFINISHED ⓘ |
| notableEvent | attempted satanic ritual sacrifice of Jennifer Check ⓘ |
| notableLocationInStory | Melody Lane bar NERFINISHED ⓘ |
| partOf | Jennifer's Body soundtrack NERFINISHED ⓘ |
| performsSong | Through the Trees NERFINISHED ⓘ |
| portrayedAs | up-and-coming indie band ⓘ |
| publicImageInFilm | heroic band that survived a tragedy ⓘ |
| responsibleFor | Jennifer Check's death at the end of the ritual ⓘ |
| roleInPlot | antagonists ⓘ |
| songBecomes |
radio hit
ⓘ
school anthem after tragedy ⓘ |
| targetAudienceInStory | teenagers ⓘ |
| toneAssociation | darkly comedic ⓘ |
| uses | satanic ritual for fame ⓘ |
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: Low Shoulder Description of subject: Low Shoulder is the fictional indie rock band in the 2009 horror-comedy film "Jennifer's Body," whose members play a central role in the movie's demonic and tragic events.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.