Learn to Listen
E540195
"Learn to Listen" is a track by the electronic music duo Brain Drain, known for its atmospheric production and introspective tone.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Learn to Listen canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T5713732 — 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: Learn to Listen Context triple: [Brain Drain, featuresSong, Learn to Listen]
-
A.
Children Will Listen
"Children Will Listen" is a reflective and cautionary song from Stephen Sondheim’s musical *Into the Woods*, exploring the impact of adults’ words and actions on children.
-
B.
I Am Listening
"I Am Listening" is a creative work whose title matches its own name, likely a book, song, or other media piece centered on themes of attention and communication.
-
C.
I Am Listening
"I Am Listening" is a work by acclaimed American playwright and director Moss Hart, known for his influential contributions to 20th-century theater.
-
D.
The Place Where You Go to Listen
The Place Where You Go to Listen is a sound and light installation by composer John Luther Adams that transforms real-time environmental data from Alaska—such as seismic activity, daylight, and weather—into an immersive, continuously evolving audiovisual experience.
-
E.
Listen to Me
"Listen to Me" is a crime thriller novel by Tess Gerritsen featuring her popular Rizzoli & Isles characters in a tense investigation that intertwines neighborhood secrets with a complex murder case.
- 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: Learn to Listen Target entity description: "Learn to Listen" is a track by the electronic music duo Brain Drain, known for its atmospheric production and introspective tone.
-
A.
Children Will Listen
"Children Will Listen" is a reflective and cautionary song from Stephen Sondheim’s musical *Into the Woods*, exploring the impact of adults’ words and actions on children.
-
B.
I Am Listening
"I Am Listening" is a creative work whose title matches its own name, likely a book, song, or other media piece centered on themes of attention and communication.
-
C.
I Am Listening
"I Am Listening" is a work by acclaimed American playwright and director Moss Hart, known for his influential contributions to 20th-century theater.
-
D.
The Place Where You Go to Listen
The Place Where You Go to Listen is a sound and light installation by composer John Luther Adams that transforms real-time environmental data from Alaska—such as seismic activity, daylight, and weather—into an immersive, continuously evolving audiovisual experience.
-
E.
Listen to Me
"Listen to Me" is a crime thriller novel by Tess Gerritsen featuring her popular Rizzoli & Isles characters in a tense investigation that intertwines neighborhood secrets with a complex murder case.
- F. None of above. chosen
Statements (15)
| Predicate | Object |
|---|---|
| instanceOf |
musical duo
ⓘ
song ⓘ |
| creator | Brain Drain NERFINISHED ⓘ |
| genre | electronic music ⓘ |
| hasMood |
atmospheric
ⓘ
introspective ⓘ |
| hasQuality |
atmospheric production
ⓘ
introspective tone ⓘ |
| hasTitle | Learn to Listen NERFINISHED ⓘ |
| hasWork | Learn to Listen NERFINISHED ⓘ |
| language | instrumental or primarily non-lyrical (inferred) ⓘ |
| medium | digital audio ⓘ |
| musicalEnsembleTypeOfCreator | electronic music duo ⓘ |
| performer | Brain Drain NERFINISHED ⓘ |
| recordingType | studio track ⓘ |
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: Learn to Listen Description of subject: "Learn to Listen" is a track by the electronic music duo Brain Drain, known for its atmospheric production and introspective tone.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject surface form:
Brain Drain