Wedding Wars
E889744
Wedding Wars is a romantic comedy film centered on a gay wedding planner whose strike for marriage equality disrupts his brother’s high-profile nuptials.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Wedding Wars canonical | 1 |
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf | film ⓘ |
| basedOn | original screenplay ⓘ |
| cinematographyBy | Paul Elliott NERFINISHED ⓘ |
| composer | Jeff Cardoni NERFINISHED ⓘ |
| countryOfOrigin |
United States of America
ⓘ
surface form:
United States
|
| director | Jim Fall NERFINISHED ⓘ |
| distributor | A&E Network NERFINISHED ⓘ |
| editor | Trudy Ship NERFINISHED ⓘ |
| featuresProtagonist | gay man ⓘ |
| filmingLocation | Nova Scotia NERFINISHED ⓘ |
| genre | romantic comedy ⓘ |
| hasCastMember |
Barclay Hope
NERFINISHED
ⓘ
Bonnie Somerville NERFINISHED ⓘ Eric Dane NERFINISHED ⓘ James Brolin NERFINISHED ⓘ John Stamos NERFINISHED ⓘ Kathy Najimy NERFINISHED ⓘ Sean Maher NERFINISHED ⓘ |
| hasSubject |
family relationships
ⓘ
politics ⓘ weddings ⓘ |
| language | English ⓘ |
| mainTheme |
LGBT rights
ⓘ
marriage equality ⓘ same-sex marriage ⓘ |
| medium | television film ⓘ |
| narrativeFocus | conflict between personal life and political principles ⓘ |
| originalChannelType | cable television ⓘ |
| originalNetwork | A&E Network NERFINISHED ⓘ |
| plotSummary | A gay wedding planner goes on strike for marriage equality, disrupting his brother’s high-profile wedding. ⓘ |
| portraysCharacter |
Bonnie Somerville as Maggie Welling
NERFINISHED
ⓘ
Eric Dane as Ben Grandy ⓘ James Brolin as Governor Welling ⓘ John Stamos as Shel Grandy NERFINISHED ⓘ Kathy Najimy as Shel and Ben's mother ⓘ Sean Maher as Ted Moore NERFINISHED ⓘ |
| producer |
Craig Zadan
NERFINISHED
ⓘ
Neil Meron NERFINISHED ⓘ |
| productionCompany | Storyline Entertainment NERFINISHED ⓘ |
| releaseDate | 2006-12-11 ⓘ |
| releaseFormat | television premiere ⓘ |
| runtimeMinutes | 88 ⓘ |
| setting | Maine NERFINISHED ⓘ |
| targetAudience | adult ⓘ |
| writer |
Stephen Mazur
NERFINISHED
ⓘ
Stephen McFeely 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: Wedding Wars Description of subject: Wedding Wars is a romantic comedy film centered on a gay wedding planner whose strike for marriage equality disrupts his brother’s high-profile nuptials.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.