Glisten
E795018
"Glisten" is a track from the EP *Available Light*, likely showcasing the release’s atmospheric and reflective musical style.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Glisten canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T9367819 — 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: Glisten Context triple: [Available Light (EP), hasTrack, Glisten]
-
A.
Glister
Glister is an oral care brand from Amway known for its toothpaste and related dental hygiene products.
-
B.
Luster
Luster is a minor but significant character in William Faulkner’s novel "The Sound and the Fury," serving as a young Black caretaker to Benjy Compson and reflecting the social and racial dynamics of the Compson household.
-
C.
Luster
Luster is a municipality in Vestland county, Norway, known for its dramatic fjord landscapes, glaciers, and historic stave churches.
-
D.
Sparkle
Sparkle is a Georgia-Pacific paper towel brand known for its affordable, everyday household cleaning products.
-
E.
Sparkle
Sparkle is an American R&B singer best known for her late-1990s work and collaborations with R. Kelly, including the hit single "Be Careful."
- 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: Glisten Target entity description: "Glisten" is a track from the EP *Available Light*, likely showcasing the release’s atmospheric and reflective musical style.
-
A.
Glister
Glister is an oral care brand from Amway known for its toothpaste and related dental hygiene products.
-
B.
Luster
Luster is a minor but significant character in William Faulkner’s novel "The Sound and the Fury," serving as a young Black caretaker to Benjy Compson and reflecting the social and racial dynamics of the Compson household.
-
C.
Luster
Luster is a municipality in Vestland county, Norway, known for its dramatic fjord landscapes, glaciers, and historic stave churches.
-
D.
Sparkle
Sparkle is a Georgia-Pacific paper towel brand known for its affordable, everyday household cleaning products.
-
E.
Sparkle
Sparkle is an American R&B singer best known for her late-1990s work and collaborations with R. Kelly, including the hit single "Be Careful."
- F. None of above. chosen
Statements (9)
| Predicate | Object |
|---|---|
| instanceOf | song ⓘ |
| hasMusicalStyle |
atmospheric
ⓘ
reflective ⓘ |
| hasWorkType | studio recording ⓘ |
| isIncludedInRelease |
Available Light EP
ⓘ
linked to:
Available Light (EP)
|
| medium | digital audio recording ⓘ |
| partOf | Available Light ⓘ |
| publicationType | EP track ⓘ |
| title | Glisten ⓘ |
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: Glisten Description of subject: "Glisten" is a track from the EP *Available Light*, likely showcasing the release’s atmospheric and reflective musical style.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.