Looking for Mr. Goodbar
E816665
Looking for Mr. Goodbar is a 1977 American drama film, based on Judith Rossner’s novel, about a young schoolteacher’s dangerous nightlife in singles bars that culminates in violence.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Looking for Mr. Goodbar canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T9720508 — 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: Looking for Mr. Goodbar Context triple: [Tuesday Weld, notableWork, Looking for Mr. Goodbar]
-
A.
Side Show
Side Show is a Broadway musical by composer Henry Krieger that dramatizes the lives of conjoined twins Daisy and Violet Hilton in the world of 1930s sideshow entertainment.
-
B.
Shopgirl
Shopgirl is a novella by Steve Martin that explores the lonely, bittersweet romantic entanglements of a young saleswoman in Los Angeles.
-
C.
First We Take Manhattan
"First We Take Manhattan" is a darkly prophetic, synth-driven song by Leonard Cohen that blends political and apocalyptic imagery with his signature poetic lyricism.
-
D.
The Meyerowitz Stories
The Meyerowitz Stories is a 2017 Noah Baumbach film, starring Adam Sandler, Ben Stiller, and Dustin Hoffman, that follows a dysfunctional New York family reuniting around their aging patriarch.
-
E.
Maid in Manhattan
Maid in Manhattan is a 2002 romantic comedy film in which Jennifer Lopez stars as a hotel maid who unexpectedly falls in love with a wealthy politician.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Looking for Mr. Goodbar Target entity description: Looking for Mr. Goodbar is a 1977 American drama film, based on Judith Rossner’s novel, about a young schoolteacher’s dangerous nightlife in singles bars that culminates in violence.
-
A.
Side Show
Side Show is a Broadway musical by composer Henry Krieger that dramatizes the lives of conjoined twins Daisy and Violet Hilton in the world of 1930s sideshow entertainment.
-
B.
Shopgirl
Shopgirl is a novella by Steve Martin that explores the lonely, bittersweet romantic entanglements of a young saleswoman in Los Angeles.
-
C.
First We Take Manhattan
"First We Take Manhattan" is a darkly prophetic, synth-driven song by Leonard Cohen that blends political and apocalyptic imagery with his signature poetic lyricism.
-
D.
The Meyerowitz Stories
The Meyerowitz Stories is a 2017 Noah Baumbach film, starring Adam Sandler, Ben Stiller, and Dustin Hoffman, that follows a dysfunctional New York family reuniting around their aging patriarch.
-
E.
Maid in Manhattan
Maid in Manhattan is a 2002 romantic comedy film in which Jennifer Lopez stars as a hotel maid who unexpectedly falls in love with a wealthy politician.
- F. None of above. chosen
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf | film ⓘ |
| adaptationType | novel-to-film adaptation ⓘ |
| authorOfSourceWork | Judith Rossner NERFINISHED ⓘ |
| basedOn | Looking for Mr. Goodbar (novel) NERFINISHED ⓘ |
| cinematographyBy | William A. Fraker NERFINISHED ⓘ |
| countryOfOrigin |
United States of America
ⓘ
surface form:
United States
|
| director | Richard Brooks NERFINISHED ⓘ |
| distributor | Paramount Pictures ⓘ |
| editedBy | Jeff Gourson NERFINISHED ⓘ |
| ending | culminates in a violent crime against the protagonist ⓘ |
| era | New Hollywood cinema NERFINISHED ⓘ |
| filmingFormat | 35 mm film ⓘ |
| genre |
crime drama film
ⓘ
drama film ⓘ |
| leadActor |
Diane Keaton
NERFINISHED
ⓘ
Tuesday Weld NERFINISHED ⓘ |
| mainCharacter | Theresa Dunn NERFINISHED ⓘ |
| mpaaRating | R ⓘ |
| musicBy | Artie Kane NERFINISHED ⓘ |
| narrativeFocus | a young teacher’s dangerous nightlife in singles bars ⓘ |
| notableFor |
controversial sexual content and violence
ⓘ
depiction of the 1970s singles bar scene ⓘ |
| originalLanguage | English ⓘ |
| plotSummary | A young schoolteacher leads a double life, frequenting singles bars and engaging in risky sexual encounters that culminate in violence. ⓘ |
| producer | Richard Brooks NERFINISHED ⓘ |
| productionCompany | Paramount Pictures NERFINISHED ⓘ |
| releaseDate | October 19, 1977 ⓘ |
| releaseYear | 1977 ⓘ |
| runtimeMinutes | 136 ⓘ |
| screenwriter | Richard Brooks NERFINISHED ⓘ |
| setInPeriod | 1970s ⓘ |
| sourceWorkPublicationYear | 1975 ⓘ |
| stars |
Alan Feinstein
NERFINISHED
ⓘ
Diane Keaton NERFINISHED ⓘ LeVar Burton NERFINISHED ⓘ Priscilla Pointer NERFINISHED ⓘ Richard Gere NERFINISHED ⓘ Richard Kiley NERFINISHED ⓘ Tom Berenger NERFINISHED ⓘ Tuesday Weld NERFINISHED ⓘ William Atherton NERFINISHED ⓘ |
| theme |
identity
ⓘ
sexual liberation ⓘ urban alienation ⓘ violence against women ⓘ |
| timePeriodOfSetting | post-sexual revolution era ⓘ |
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: Looking for Mr. Goodbar Description of subject: Looking for Mr. Goodbar is a 1977 American drama film, based on Judith Rossner’s novel, about a young schoolteacher’s dangerous nightlife in singles bars that culminates in violence.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.