song "No Tears Left to Cry"
E163957
"No Tears Left to Cry" is a 2018 pop single by Ariana Grande that blends upbeat dance-pop with emotional lyrics and marked her musical return following the Manchester Arena bombing.
All labels observed (1)
| Label | Occurrences |
|---|---|
| song "No Tears Left to Cry" canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1432962 — 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 "No Tears Left to Cry" Context triple: [Ariana Grande, notableWork, song "No Tears Left to Cry"]
-
A.
song "The Ground Beneath Her Feet"
"The Ground Beneath Her Feet" is a song by U2, featuring lyrics adapted from Salman Rushdie’s novel of the same name and first released on the soundtrack to the film "The Million Dollar Hotel."
-
B.
song "Hero"
"Hero" is one of Mariah Carey's signature power ballads, celebrated for its inspirational lyrics and soaring vocal performance.
-
C.
song "Tessie"
"Tessie" is a classic American song closely associated with the Boston Red Sox and their fan culture.
-
D.
song "Stone Crazy"
"Stone Crazy" is a renowned electric blues song by guitarist and singer Buddy Guy, celebrated for its intense guitar work and emotional vocal delivery.
-
E.
song "Fantasy"
"Fantasy" is a 1995 pop and R&B hit by Mariah Carey, known for its catchy hook, innovative use of a Tom Tom Club sample, and enduring popularity as one of her signature songs.
- 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 "No Tears Left to Cry" Target entity description: "No Tears Left to Cry" is a 2018 pop single by Ariana Grande that blends upbeat dance-pop with emotional lyrics and marked her musical return following the Manchester Arena bombing.
-
A.
song "The Ground Beneath Her Feet"
"The Ground Beneath Her Feet" is a song by U2, featuring lyrics adapted from Salman Rushdie’s novel of the same name and first released on the soundtrack to the film "The Million Dollar Hotel."
-
B.
song "Hero"
"Hero" is one of Mariah Carey's signature power ballads, celebrated for its inspirational lyrics and soaring vocal performance.
-
C.
song "Tessie"
"Tessie" is a classic American song closely associated with the Boston Red Sox and their fan culture.
-
D.
song "Stone Crazy"
"Stone Crazy" is a renowned electric blues song by guitarist and singer Buddy Guy, celebrated for its intense guitar work and emotional vocal delivery.
-
E.
song "Fantasy"
"Fantasy" is a 1995 pop and R&B hit by Mariah Carey, known for its catchy hook, innovative use of a Tom Tom Club sample, and enduring popularity as one of her signature songs.
- F. None of above. chosen
Statements (49)
| Predicate | Object |
|---|---|
| instanceOf |
single
ⓘ
song ⓘ |
| album | Sweetener ⓘ |
| artist | Ariana Grande ⓘ |
| certification |
multi-platinum in the United States
ⓘ
platinum in Australia ⓘ platinum in the United Kingdom ⓘ |
| chartPosition |
number 1 in Australia
ⓘ
number 1 in Ireland ⓘ number 1 in Lebanon ⓘ number 1 in Malaysia ⓘ number 1 in Norway ⓘ number 1 in Portugal ⓘ number 1 in Singapore ⓘ number 2 on the UK Singles Chart ⓘ number 3 on the US Billboard Hot 100 ⓘ |
| chronologyInArtistSingles | lead single from the album Sweetener ⓘ |
| countryOfOrigin |
United States
ⓘ
linked to:
United States of America
|
| features | tempo changes and beat switches ⓘ |
| followsInArtistSinglesChronology | Beauty and the Beast (Ariana Grande and John Legend song) ⓘ |
| genre |
dance-pop
ⓘ
pop ⓘ |
| hasCoverArt | Ariana Grande in grayscale with upside-down typography ⓘ |
| hasElement | upbeat production with emotional lyrics ⓘ |
| hasHookLyric |
"Ain't got no tears left to cry"
ⓘ
"Right now, I'm in a state of mind, I wanna be in like all the time" ⓘ |
| hasMusicVideo | Yes ⓘ |
| inspiredByEvent |
Manchester Arena bombing
ⓘ
linked to:
2017 Manchester Arena bombing
|
| label |
Republic
ⓘ
Republic Records ⓘ |
| language | English ⓘ |
| marks | Ariana Grande's musical return after the Manchester Arena bombing ⓘ |
| musicVideoDirector | Dave Meyers ⓘ |
| nominatedFor | Grammy Award for Best Pop Solo Performance ⓘ |
| partOfAlbum | Sweetener ⓘ |
| performer | Ariana Grande ⓘ |
| precedesInArtistSinglesChronology | The Light Is Coming ⓘ |
| producer |
Ilya Salmanzadeh
ⓘ
Max Martin ⓘ |
| recorded | 2018 ⓘ |
| releaseDate | 2018-04-20 ⓘ |
| theme |
healing after trauma
ⓘ
moving on ⓘ resilience ⓘ |
| usesVocalStyle | melismatic vocal runs ⓘ |
| writer |
Ariana Grande
ⓘ
Ilya Salmanzadeh ⓘ Max Martin ⓘ Savan Kotecha ⓘ |
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 "No Tears Left to Cry" Description of subject: "No Tears Left to Cry" is a 2018 pop single by Ariana Grande that blends upbeat dance-pop with emotional lyrics and marked her musical return following the Manchester Arena bombing.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.