Facehuggers
E537584
"Facehuggers" is a track from the original score of the science-fiction horror film *Aliens*, composed by James Horner.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Facehuggers canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T5652964 — 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: Facehuggers Context triple: [Aliens (film score), containsTrack, Facehuggers]
-
A.
Kissing the Mask
Kissing the Mask is a nonfiction book by William T. Vollmann that explores the art, history, and aesthetics of Japanese Noh theater through travel, interviews, and personal reflection.
-
B.
MASQUE
MASQUE is an IETF protocol framework that enables proxying of network traffic such as HTTP, DNS, and VPN-like tunnels over HTTP/3 using QUIC.
-
C.
The Germ
The Germ was a short-lived 1850 periodical founded by members of the Pre-Raphaelite Brotherhood to promote their artistic and literary ideals.
-
D.
Behind a Mask
"Behind a Mask" is a sensation-style novella by Louisa May Alcott, originally published under a pseudonym, that follows a cunning governess who deceives a wealthy family for personal gain.
-
E.
Biohazard
Biohazard is an American hardcore punk and heavy metal band known for pioneering the fusion of hardcore, metal, and hip-hop elements in the late 1980s and 1990s.
- 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: Facehuggers Target entity description: "Facehuggers" is a track from the original score of the science-fiction horror film *Aliens*, composed by James Horner.
-
A.
Kissing the Mask
Kissing the Mask is a nonfiction book by William T. Vollmann that explores the art, history, and aesthetics of Japanese Noh theater through travel, interviews, and personal reflection.
-
B.
MASQUE
MASQUE is an IETF protocol framework that enables proxying of network traffic such as HTTP, DNS, and VPN-like tunnels over HTTP/3 using QUIC.
-
C.
The Germ
The Germ was a short-lived 1850 periodical founded by members of the Pre-Raphaelite Brotherhood to promote their artistic and literary ideals.
-
D.
Behind a Mask
"Behind a Mask" is a sensation-style novella by Louisa May Alcott, originally published under a pseudonym, that follows a cunning governess who deceives a wealthy family for personal gain.
-
E.
Biohazard
Biohazard is an American hardcore punk and heavy metal band known for pioneering the fusion of hardcore, metal, and hip-hop elements in the late 1980s and 1990s.
- F. None of above. chosen
Statements (25)
| Predicate | Object |
|---|---|
| instanceOf |
film score track
ⓘ
musical work ⓘ |
| associatedWithFranchise |
Alien (franchise)
ⓘ
linked to:
Alien franchise
|
| basedOn |
Aliens (1986 film)
ⓘ
linked to:
Aliens
|
| composer | James Horner ⓘ |
| composerOfSoundtrackAlsoComposed |
Aliens (original motion picture score)
ⓘ
linked to:
Aliens (film score)
|
| countryOfOrigin |
United States
ⓘ
linked to:
United States of America
|
| creditedComposer | James Horner ⓘ |
| featuredIn |
Aliens (1986 film)
ⓘ
linked to:
Aliens
|
| genre |
film score
ⓘ
orchestral music ⓘ soundtrack ⓘ |
| hasStyle |
dramatic
ⓘ
orchestral ⓘ suspenseful ⓘ |
| hasType | instrumental composition ⓘ |
| language | instrumental ⓘ |
| medium | audio recording ⓘ |
| namedAfter |
Facehugger (fictional creature)
ⓘ
linked to:
Facehugger
|
| partOf |
Aliens (1986 film)
ⓘ
linked to:
Aliens
Aliens (original motion picture score) ⓘ
linked to:
Aliens (film score)
Aliens (soundtrack) ⓘ
linked to:
Aliens (film score)
|
| publicationYear | 1986 ⓘ |
| recordedFor |
Aliens (1986 film)
ⓘ
linked to:
Aliens
|
| usedAs | film underscore ⓘ |
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: Facehuggers Description of subject: "Facehuggers" is a track from the original score of the science-fiction horror film *Aliens*, composed by James Horner.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.