Black Mirror: “Fifteen Million Merits” (score)
E516171
"Black Mirror: 'Fifteen Million Merits' (score) is the atmospheric, electronic-infused musical soundtrack composed by Leopold Ross for the dystopian second episode of the anthology series Black Mirror."
All labels observed (1)
| Label | Occurrences |
|---|---|
| Black Mirror: “Fifteen Million Merits” (score) canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T5368201 — 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: Black Mirror: “Fifteen Million Merits” (score) Context triple: [Leopold Ross, notableWork, Black Mirror: “Fifteen Million Merits” (score)]
-
A.
Black Mirror: The Entire History of You (score)
Black Mirror: The Entire History of You (score) is Daniel Pemberton’s atmospheric and unsettling musical soundtrack composed for the acclaimed Black Mirror episode about memory-recording technology.
-
B.
Black Mirror episode "Nosedive"
"Nosedive" is a Black Mirror episode, starring Bryce Dallas Howard, that satirically explores a near-future society obsessed with social media ratings and curated perfection.
-
C.
Black Mirror: Arkangel
Black Mirror: Arkangel is a dystopian anthology episode that explores parental overprotection and surveillance technology through a chilling near-future scenario.
-
D.
Black Mirror
Black Mirror is a British science fiction anthology television series that explores the dark and often dystopian consequences of modern and near-future technology on society and human behavior.
-
E.
Westworld (TV series) score
The score for the TV series "Westworld" is a critically acclaimed, atmospheric soundtrack composed by Ramin Djawadi that blends orchestral music with innovative reinterpretations of contemporary songs to enhance the show's complex, futuristic Western setting.
- 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: Black Mirror: “Fifteen Million Merits” (score) Target entity description: "Black Mirror: 'Fifteen Million Merits' (score) is the atmospheric, electronic-infused musical soundtrack composed by Leopold Ross for the dystopian second episode of the anthology series Black Mirror."
-
A.
Black Mirror: The Entire History of You (score)
Black Mirror: The Entire History of You (score) is Daniel Pemberton’s atmospheric and unsettling musical soundtrack composed for the acclaimed Black Mirror episode about memory-recording technology.
-
B.
Black Mirror episode "Nosedive"
"Nosedive" is a Black Mirror episode, starring Bryce Dallas Howard, that satirically explores a near-future society obsessed with social media ratings and curated perfection.
-
C.
Black Mirror: Arkangel
Black Mirror: Arkangel is a dystopian anthology episode that explores parental overprotection and surveillance technology through a chilling near-future scenario.
-
D.
Black Mirror
Black Mirror is a British science fiction anthology television series that explores the dark and often dystopian consequences of modern and near-future technology on society and human behavior.
-
E.
Westworld (TV series) score
The score for the TV series "Westworld" is a critically acclaimed, atmospheric soundtrack composed by Ramin Djawadi that blends orchestral music with innovative reinterpretations of contemporary songs to enhance the show's complex, futuristic Western setting.
- F. None of above. chosen
Statements (24)
| Predicate | Object |
|---|---|
| instanceOf |
soundtrack album
ⓘ
television score ⓘ |
| associatedComposer | Leopold Ross NERFINISHED ⓘ |
| associatedWithFranchise | Black Mirror NERFINISHED ⓘ |
| basedOn | Black Mirror episode “Fifteen Million Merits” NERFINISHED ⓘ |
| composer | Leopold Ross NERFINISHED ⓘ |
| countryOfOrigin | United Kingdom ⓘ |
| distributorForAssociatedEpisode | Channel 4 NERFINISHED ⓘ |
| format | original score recording ⓘ |
| franchiseCreatorOfAssociatedSeries | Charlie Brooker NERFINISHED ⓘ |
| genre |
ambient music
ⓘ
electronic music ⓘ television soundtrack ⓘ |
| hasAtmosphere | dystopian ⓘ |
| language | instrumental ⓘ |
| medium | television ⓘ |
| notableFor | supporting the dystopian tone of the episode ⓘ |
| originallyComposedFor | second episode of Black Mirror ⓘ |
| partOf | Black Mirror (television series) NERFINISHED ⓘ |
| primaryFunction | underscore for narrative scenes ⓘ |
| productionCompanyForAssociatedEpisode | Zeppotron NERFINISHED ⓘ |
| style |
atmospheric
ⓘ
electronic-infused ⓘ |
| usedIn | Black Mirror season 1 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: Black Mirror: “Fifteen Million Merits” (score) Description of subject: "Black Mirror: 'Fifteen Million Merits' (score) is the atmospheric, electronic-infused musical soundtrack composed by Leopold Ross for the dystopian second episode of the anthology series Black Mirror."
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.