Song #6
E402215
"Song #6" is a track by the British band Freak Power, known for their blend of acid jazz, funk, and soul.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Song #6 canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T3960756 — 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: Song #6 Context triple: [Freak Power, single, Song #6]
-
A.
A Song
"A Song" is a track by Greek composer Vangelis featured on his 1979 electronic music album "Earth."
-
B.
Song to Song
Song to Song is a 2017 experimental romantic drama film directed by Terrence Malick, known for its impressionistic narrative, Austin music-scene setting, and fluid, visually striking cinematography.
-
C.
Song
Song is a common Chinese surname with historical roots and cultural significance, shared by many notable figures across various fields.
-
D.
You Song
"You Song" is a track by the Australian rock band Surf, likely featuring their characteristic energetic, guitar-driven sound.
-
E.
The Sing
"The Sing" is a track by American singer-songwriter Bill Callahan from his critically acclaimed 2013 album *Dream River*, noted for its meditative, narrative-rich style.
- 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: Song #6 Target entity description: "Song #6" is a track by the British band Freak Power, known for their blend of acid jazz, funk, and soul.
-
A.
A Song
"A Song" is a track by Greek composer Vangelis featured on his 1979 electronic music album "Earth."
-
B.
Song to Song
Song to Song is a 2017 experimental romantic drama film directed by Terrence Malick, known for its impressionistic narrative, Austin music-scene setting, and fluid, visually striking cinematography.
-
C.
Song
Song is a common Chinese surname with historical roots and cultural significance, shared by many notable figures across various fields.
-
D.
You Song
"You Song" is a track by the Australian rock band Surf, likely featuring their characteristic energetic, guitar-driven sound.
-
E.
The Sing
"The Sing" is a track by American singer-songwriter Bill Callahan from his critically acclaimed 2013 album *Dream River*, noted for its meditative, narrative-rich style.
- F. None of above. chosen
Statements (14)
| Predicate | Object |
|---|---|
| instanceOf |
musical work
ⓘ
song ⓘ |
| artist | Freak Power ⓘ |
| countryOfOrigin | United Kingdom ⓘ |
| genre |
acid jazz
ⓘ
funk ⓘ soul ⓘ |
| performer | Freak Power ⓘ |
| performerCountry | United Kingdom ⓘ |
| performerGenre |
acid jazz
ⓘ
funk ⓘ soul ⓘ |
| performerType | band ⓘ |
| title | Song #6 ⓘ |
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: Song #6 Description of subject: "Song #6" is a track by the British band Freak Power, known for their blend of acid jazz, funk, and soul.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.