Score for "Mildred Pierce"
E144976
The score for "Mildred Pierce" is a classic 1945 film soundtrack by composer Max Steiner, noted for its lush, dramatic orchestration that heightens the film’s noir-inflected melodrama.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Score for "Mildred Pierce" canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1262855 — 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: Score for "Mildred Pierce" Context triple: [Max Steiner, notableWork, Score for "Mildred Pierce"]
-
A.
Mildred Pierce
Mildred Pierce is a 2011 HBO miniseries adaptation of James M. Cain’s novel, starring Kate Winslet as a struggling single mother during the Great Depression.
-
B.
The Score
The Score is a 2001 heist thriller film starring Robert De Niro, Edward Norton, and Marlon Brando, centered on an aging safecracker drawn into one last high-stakes robbery.
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C.
La La Land
La La Land is a 2016 romantic musical film that follows the love story of an aspiring actress and a jazz musician in Los Angeles, celebrated for its nostalgic homage to classic Hollywood musicals and its acclaimed direction, music, and performances.
-
D.
Witherspoon
Witherspoon is a Scottish-origin surname borne by various notable figures in politics, entertainment, and sports.
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E.
What Maisie Knew
What Maisie Knew is a novel by Henry James that follows a young girl caught between her divorced, self-absorbed parents, exploring themes of innocence, perception, and moral responsibility.
- 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: Score for "Mildred Pierce" Target entity description: The score for "Mildred Pierce" is a classic 1945 film soundtrack by composer Max Steiner, noted for its lush, dramatic orchestration that heightens the film’s noir-inflected melodrama.
-
A.
Mildred Pierce
Mildred Pierce is a 2011 HBO miniseries adaptation of James M. Cain’s novel, starring Kate Winslet as a struggling single mother during the Great Depression.
-
B.
The Score
The Score is a 2001 heist thriller film starring Robert De Niro, Edward Norton, and Marlon Brando, centered on an aging safecracker drawn into one last high-stakes robbery.
-
C.
La La Land
La La Land is a 2016 romantic musical film that follows the love story of an aspiring actress and a jazz musician in Los Angeles, celebrated for its nostalgic homage to classic Hollywood musicals and its acclaimed direction, music, and performances.
-
D.
Witherspoon
Witherspoon is a Scottish-origin surname borne by various notable figures in politics, entertainment, and sports.
-
E.
What Maisie Knew
What Maisie Knew is a novel by Henry James that follows a young girl caught between her divorced, self-absorbed parents, exploring themes of innocence, perception, and moral responsibility.
- F. None of above. chosen
Statements (41)
| Predicate | Object |
|---|---|
| instanceOf |
film score
ⓘ
soundtrack ⓘ |
| associatedComposerRole | Max Steiner as head of music for Warner Bros. ⓘ |
| associatedWith |
Hollywood studio system
ⓘ
linked to:
Hollywood studios
film noir ⓘ |
| composer | Max Steiner ⓘ |
| countryOfOrigin |
United States
ⓘ
linked to:
United States of America
|
| emotionalTone |
romantic passion
ⓘ
tense ⓘ tragic ⓘ |
| forWork | Mildred Pierce (1945 film) ⓘ |
| function |
heightens melodrama
ⓘ
supports character emotions ⓘ underscores suspense ⓘ |
| genre |
film noir score
ⓘ
melodrama score ⓘ orchestral film music ⓘ |
| historicalContext | classic 1940s Hollywood film score ⓘ |
| influenced | later film noir scoring conventions ⓘ |
| influencedBy | late Romantic orchestral tradition ⓘ |
| language | non-vocal orchestral music ⓘ |
| linkedToCharacter |
Mildred Pierce (character)
ⓘ
Veda Pierce (character) ⓘ |
| medium | symphony orchestra ⓘ |
| notableFeature |
chromatic harmonies
ⓘ
leitmotivic writing ⓘ prominent use of brass ⓘ rich string writing ⓘ |
| orchestrationStyle |
dramatic
ⓘ
lush ⓘ |
| originalReleaseContext | theatrical film exhibition ⓘ |
| partOf |
Max Steiner filmography
ⓘ
linked to:
Max Steiner
|
| productionCompanyOfFilm |
Warner Bros.
ⓘ
linked to:
Warner Bros. Entertainment
|
| productionPeriod |
Golden Age of Hollywood
ⓘ
linked to:
Hollywood Golden Age
|
| recordingFormat | monophonic ⓘ |
| stylePeriod | Golden Age film music ⓘ |
| tonalCharacter |
dark
ⓘ
romantic ⓘ |
| usedIn |
dramatic climax scenes of Mildred Pierce (1945 film)
ⓘ
opening credits of Mildred Pierce (1945 film) ⓘ |
| yearOfFilmRelease | 1945 ⓘ |
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: Score for "Mildred Pierce" Description of subject: The score for "Mildred Pierce" is a classic 1945 film soundtrack by composer Max Steiner, noted for its lush, dramatic orchestration that heightens the film’s noir-inflected melodrama.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.