Support the Girls
E332596
Support the Girls is a 2018 indie comedy-drama film that follows the overworked manager of a roadside sports bar as she navigates a chaotic day supporting her staff and customers.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Support the Girls canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T3143337 — 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: Support the Girls Context triple: [Regina Hall, notableWork, Support the Girls]
-
A.
My Girls
"My Girls" is a song by Christina Aguilera from her 2010 electro-pop album *Bionic*, blending dance-pop production with themes of female camaraderie and empowerment.
-
B.
Girlboss
Girlboss is a Netflix comedy-drama series loosely based on the life and business journey of Nasty Gal founder Sophia Amoruso.
-
C.
The Girls on the Bridge
The Girls on the Bridge is a famous painting by Norwegian artist Edvard Munch depicting three women standing on a bridge in a vivid, emotionally charged landscape.
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D.
Beautiful Girls
Beautiful Girls is a 1996 ensemble romantic dramedy film about a group of small-town friends reuniting for a high school reunion and confronting their stalled lives and relationships.
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E.
Your Girl
"Your Girl" is a song by Mariah Carey from her 2005 album *The Emancipation of Mimi*.
- 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: Support the Girls Target entity description: Support the Girls is a 2018 indie comedy-drama film that follows the overworked manager of a roadside sports bar as she navigates a chaotic day supporting her staff and customers.
-
A.
My Girls
"My Girls" is a song by Christina Aguilera from her 2010 electro-pop album *Bionic*, blending dance-pop production with themes of female camaraderie and empowerment.
-
B.
Girlboss
Girlboss is a Netflix comedy-drama series loosely based on the life and business journey of Nasty Gal founder Sophia Amoruso.
-
C.
The Girls on the Bridge
The Girls on the Bridge is a famous painting by Norwegian artist Edvard Munch depicting three women standing on a bridge in a vivid, emotionally charged landscape.
-
D.
Beautiful Girls
Beautiful Girls is a 1996 ensemble romantic dramedy film about a group of small-town friends reuniting for a high school reunion and confronting their stalled lives and relationships.
-
E.
Your Girl
"Your Girl" is a song by Mariah Carey from her 2005 album *The Emancipation of Mimi*.
- F. None of above. chosen
Statements (35)
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: Support the Girls Description of subject: Support the Girls is a 2018 indie comedy-drama film that follows the overworked manager of a roadside sports bar as she navigates a chaotic day supporting her staff and customers.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.