Very (Pet Shop Boys album)
E782467
"Very" is a 1993 synth-pop album by English duo Pet Shop Boys, noted for its upbeat, dance-oriented sound and distinctive orange Lego-style packaging.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Very (Pet Shop Boys album) canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T9164327 — 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: Very (Pet Shop Boys album) Context triple: [Chris Lowe, hasPartInDiscography, Very (Pet Shop Boys album)]
-
A.
True Faith
"True Faith" is a 1987 synth-pop song by the English band New Order, widely regarded as one of their signature tracks for its anthemic melody and introspective lyrics.
-
B.
Into Battle with the Art of Noise
Into Battle with the Art of Noise is a 1983 debut EP by the avant-garde synthpop group Art of Noise, noted for its pioneering use of sampling and experimental electronic production.
-
C.
It’s Tricky
"It's Tricky" is a popular 1986 hip hop single by Run-D.M.C. known for its catchy hook and influential role in bringing rap music into the mainstream.
-
D.
Everything Everything
Everything Everything is an English art-rock and indie band known for their complex song structures, socially conscious lyrics, and eclectic blend of electronic and guitar-driven sounds.
-
E.
Velvet
Velvet is a Spanish romantic drama television series set in a 1950s fashion house, focusing on the love story between a seamstress and the heir to the business.
- 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: Very (Pet Shop Boys album) Target entity description: "Very" is a 1993 synth-pop album by English duo Pet Shop Boys, noted for its upbeat, dance-oriented sound and distinctive orange Lego-style packaging.
-
A.
True Faith
"True Faith" is a 1987 synth-pop song by the English band New Order, widely regarded as one of their signature tracks for its anthemic melody and introspective lyrics.
-
B.
Into Battle with the Art of Noise
Into Battle with the Art of Noise is a 1983 debut EP by the avant-garde synthpop group Art of Noise, noted for its pioneering use of sampling and experimental electronic production.
-
C.
It’s Tricky
"It's Tricky" is a popular 1986 hip hop single by Run-D.M.C. known for its catchy hook and influential role in bringing rap music into the mainstream.
-
D.
Everything Everything
Everything Everything is an English art-rock and indie band known for their complex song structures, socially conscious lyrics, and eclectic blend of electronic and guitar-driven sounds.
-
E.
Velvet
Velvet is a Spanish romantic drama television series set in a 1950s fashion house, focusing on the love story between a seamstress and the heir to the business.
- F. None of above. chosen
Statements (50)
| Predicate | Object |
|---|---|
| instanceOf |
Pet Shop Boys album
ⓘ
studio album ⓘ |
| artist | Pet Shop Boys NERFINISHED ⓘ |
| chartPositionUKAlbumsChart | 1 ⓘ |
| chartPositionUSBillboard200 | 20 ⓘ |
| countryOfOrigin | United Kingdom ⓘ |
| coverArtDesigner | Mark Farrow NERFINISHED ⓘ |
| describedAs |
dance-oriented
ⓘ
upbeat ⓘ |
| followedBy | Bilingual (album) NERFINISHED ⓘ |
| genre |
dance-pop
ⓘ
synth-pop ⓘ |
| hasPart |
A Different Point of View
NERFINISHED
ⓘ
Can You Forgive Her? (song) NERFINISHED ⓘ Dreaming of the Queen NERFINISHED ⓘ Go West (Pet Shop Boys song) NERFINISHED ⓘ I Wouldn't Normally Do This Kind of Thing NERFINISHED ⓘ Liberation (song) NERFINISHED ⓘ One and One Make Five NERFINISHED ⓘ One in a Million NERFINISHED ⓘ The Theatre NERFINISHED ⓘ To Speak Is a Sin NERFINISHED ⓘ Yesterday, When I Was Mad NERFINISHED ⓘ Young Offender NERFINISHED ⓘ |
| hasVersion | Very Relentless NERFINISHED ⓘ |
| language | English ⓘ |
| length | about 53 minutes ⓘ |
| mainSubject |
identity
ⓘ
love ⓘ relationships ⓘ |
| notableSingle |
Can You Forgive Her? (song)
NERFINISHED
ⓘ
Go West (Pet Shop Boys song) NERFINISHED ⓘ I Wouldn't Normally Do This Kind of Thing NERFINISHED ⓘ Liberation (song) NERFINISHED ⓘ Yesterday, When I Was Mad NERFINISHED ⓘ |
| notableWorkOf | Pet Shop Boys NERFINISHED ⓘ |
| numberOfTracks | 12 ⓘ |
| packagingStyle | orange Lego-style case ⓘ |
| performer | Pet Shop Boys NERFINISHED ⓘ |
| precededBy | Discography: The Complete Singles Collection NERFINISHED ⓘ |
| producer |
Brothers in Rhythm
NERFINISHED
ⓘ
Pet Shop Boys NERFINISHED ⓘ Stephen Hague NERFINISHED ⓘ |
| recordedInTimePeriod |
1992
ⓘ
1993 ⓘ |
| recordLabel | Parlophone ⓘ |
| releaseDate | 1993-09-20 ⓘ |
| releaseFormat |
CD
ⓘ
cassette ⓘ vinyl record ⓘ |
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: Very (Pet Shop Boys album) Description of subject: "Very" is a 1993 synth-pop album by English duo Pet Shop Boys, noted for its upbeat, dance-oriented sound and distinctive orange Lego-style packaging.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.