Thank You
E501258
"Thank You" is Meghan Trainor's second major-label studio album, showcasing a more mature pop and R&B-influenced sound and featuring hits like "No" and "Me Too."
All labels observed (1)
| Label | Occurrences |
|---|---|
| Thank You canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T5193744 — 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: [Meghan Trainor, notableAlbum, Thank You]
-
A.
Thank You
"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.
-
B.
Thank You
"Thank You" is a song featured on the jazz standard album "All of Me."
-
C.
Thank You
"Thank You" is a soulful R&B song by British singer-songwriter Estelle, showcasing her smooth vocals and heartfelt lyricism.
-
D.
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.
-
E.
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.
- 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 Meghan Trainor's second major-label studio album, showcasing a more mature pop and R&B-influenced sound and featuring hits like "No" and "Me Too."
-
A.
Thank You
"Thank You" is a song featured on the jazz standard album "All of Me."
-
B.
Thank You
"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.
-
C.
Thank You
"Thank You" is a soulful R&B song by British singer-songwriter Estelle, showcasing her smooth vocals and heartfelt lyricism.
-
D.
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.
-
E.
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.
- F. None of above. chosen
Statements (43)
| Predicate | Object |
|---|---|
| instanceOf |
Meghan Trainor album
ⓘ
studio album ⓘ |
| artist | Meghan Trainor NERFINISHED ⓘ |
| countryOfOrigin |
United States of America
ⓘ
surface form:
United States
|
| featuresMoreMatureSound | true ⓘ |
| follows | Title ⓘ |
| genre |
R&B
ⓘ
dance-pop ⓘ pop ⓘ pop-soul ⓘ |
| hasDeluxeEdition | Thank You (deluxe edition) NERFINISHED ⓘ |
| hasPopInfluence | true ⓘ |
| hasRAndBInfluence | true ⓘ |
| hasSingle |
Better
ⓘ
Me Too ⓘ No ⓘ |
| hasTheme |
female empowerment
ⓘ
relationships ⓘ self-confidence ⓘ |
| hasTrack |
Champagne Problems
NERFINISHED
ⓘ
Dance Like Yo Daddy NERFINISHED ⓘ Hopeless Romantic NERFINISHED ⓘ I Love Me NERFINISHED ⓘ Just a Friend to You NERFINISHED ⓘ Kindly Calm Me Down NERFINISHED ⓘ Thank You (title track) NERFINISHED ⓘ Watch Me Do ⓘ Woman Up NERFINISHED ⓘ |
| isPartOf | Meghan Trainor discography ⓘ |
| isSecondMajorLabelStudioAlbumOf | Meghan Trainor NERFINISHED ⓘ |
| label | Epic Records NERFINISHED ⓘ |
| language | English ⓘ |
| notableTrack |
Better
NERFINISHED
ⓘ
Me Too NERFINISHED ⓘ No ⓘ |
| performer | Meghan Trainor NERFINISHED ⓘ |
| previousAlbum | Title ⓘ |
| producer |
Johan Carlsson
NERFINISHED
ⓘ
Meghan Trainor NERFINISHED ⓘ Ricky Reed NERFINISHED ⓘ The Monsters & Strangerz NERFINISHED ⓘ Tommy Brown NERFINISHED ⓘ |
| recordedBy | Meghan Trainor NERFINISHED ⓘ |
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 Meghan Trainor's second major-label studio album, showcasing a more mature pop and R&B-influenced sound and featuring hits like "No" and "Me Too."
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.