Thank You
E363869
"Thank You" is a 1995 studio album by the American rock band Royal Trux, known for its experimental, lo-fi blend of noise rock and classic rock influences.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Thank You canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T3503351 — 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: Thank You Context triple: [Royal Trux, notableWork, Thank You]
-
A.
Thank You
"Thank You" is a song featured on the jazz standard album "All of Me."
-
B.
Thank You So Much
"Thank You So Much" is a lesser-known song composed by Richard Rodgers, the influential American composer famed for his work in musical theatre.
-
C.
Thank You for the Music
"Thank You for the Music" is a popular ABBA song, later featured prominently in the musical and film "Mamma Mia!" where it is performed by the character Harry Bright among others.
-
D.
I Wanna Thank Me
"I Wanna Thank Me" is a 2019 studio album by Snoop Dogg that showcases his veteran West Coast hip-hop style and self-reflective celebration of his long career.
-
E.
Praise You
"Praise You" is a 1999 hit electronic dance track by British DJ and producer Norman Cook, better known as Fatboy Slim, renowned for its innovative sample-based production and iconic low-budget music video.
- 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: Thank You Target entity description: "Thank You" is a 1995 studio album by the American rock band Royal Trux, known for its experimental, lo-fi blend of noise rock and classic rock influences.
-
A.
Thank You
"Thank You" is a song featured on the jazz standard album "All of Me."
-
B.
Thank You So Much
"Thank You So Much" is a lesser-known song composed by Richard Rodgers, the influential American composer famed for his work in musical theatre.
-
C.
Thank You for the Music
"Thank You for the Music" is a popular ABBA song, later featured prominently in the musical and film "Mamma Mia!" where it is performed by the character Harry Bright among others.
-
D.
I Wanna Thank Me
"I Wanna Thank Me" is a 2019 studio album by Snoop Dogg that showcases his veteran West Coast hip-hop style and self-reflective celebration of his long career.
-
E.
Praise You
"Praise You" is a 1999 hit electronic dance track by British DJ and producer Norman Cook, better known as Fatboy Slim, renowned for its innovative sample-based production and iconic low-budget music video.
- F. None of above. chosen
Statements (35)
| Predicate | Object |
|---|---|
| instanceOf |
music album
ⓘ
studio album ⓘ |
| artist | Royal Trux ⓘ |
| countryOfOrigin |
United States of America
ⓘ
surface form:
United States
|
| describedBySource | music critics ⓘ |
| followedBy | Sweet Sixteen ⓘ |
| follows | Cats and Dogs ⓘ |
| format |
CD
ⓘ
audio cassette ⓘ vinyl record ⓘ |
| genre |
experimental rock
ⓘ
noise rock ⓘ rock ⓘ |
| hasPart |
A Night to Remember (1958 film)
ⓘ
surface form:
“A Night to Remember”
“Fear Strikes Out” ⓘ “Map of the City” ⓘ “Platinum Tips” ⓘ Rayovac ⓘ
surface form:
“Ray O Vac”
“Shadow of the Wasp” ⓘ “Sign of the Praying Mantis” ⓘ “The Flag” ⓘ “The Sewers of Mars” ⓘ Turn of the Century ⓘ
surface form:
“Turn of the Century”
“You Can’t Have It Both Ways” ⓘ |
| hasType | lo‑fi recording ⓘ |
| language | English ⓘ |
| notableFor |
blend of noise rock and classic rock influences
ⓘ
lo‑fi production style ⓘ |
| performer |
Jennifer Herrema
NERFINISHED
ⓘ
Neil Hagerty ⓘ Royal Trux ⓘ |
| producer | Royal Trux ⓘ |
| recordLabel |
Hut Records
ⓘ
surface form:
Hut Recordings
Virgin Records ⓘ |
| releaseYear | 1995 ⓘ |
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: Thank You Description of subject: "Thank You" is a 1995 studio album by the American rock band Royal Trux, known for its experimental, lo-fi blend of noise rock and classic rock influences.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.