No Tears Left to Cry
E640204
"No Tears Left to Cry" is a 2018 pop single by Ariana Grande that marked her return to music with an uplifting, resilient message following the Manchester Arena bombing.
All labels observed (2)
| Label | Occurrences |
|---|---|
| No Tears Left to Cry canonical | 8 |
| No Tears Left | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T7081972 — 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: No Tears Left to Cry Context triple: [Sweetener, containsTrack, No Tears Left to Cry]
-
A.
Don't Cry
"Don't Cry" is a song by Neil Young featured on his 1989 album *Freedom*, known for its raw emotional intensity and distorted guitar sound.
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B.
Don’t Cry
"Don’t Cry" is a popular rock ballad by the American band Guns N’ Roses, known for its emotional lyrics and powerful guitar work.
-
C.
Don’t Cry
"Don’t Cry" is a melancholic hip-hop track by Lil Wayne featuring XXXTentacion, reflecting on loss, pain, and perseverance.
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D.
Save Your Tears
"Save Your Tears" is a synth-pop song by Canadian singer The Weeknd, best known as one of the hit singles from his album "After Hours" and for its successful remix featuring Ariana Grande.
-
E.
So Many Tears
"So Many Tears" is a reflective and emotionally charged song by Tupac Shakur that explores themes of pain, loss, and inner turmoil.
- 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: No Tears Left to Cry Target entity description: "No Tears Left to Cry" is a 2018 pop single by Ariana Grande that marked her return to music with an uplifting, resilient message following the Manchester Arena bombing.
-
A.
Don't Cry
"Don't Cry" is a song by Neil Young featured on his 1989 album *Freedom*, known for its raw emotional intensity and distorted guitar sound.
-
B.
Don’t Cry
"Don’t Cry" is a popular rock ballad by the American band Guns N’ Roses, known for its emotional lyrics and powerful guitar work.
-
C.
Don’t Cry
"Don’t Cry" is a melancholic hip-hop track by Lil Wayne featuring XXXTentacion, reflecting on loss, pain, and perseverance.
-
D.
Save Your Tears
"Save Your Tears" is a synth-pop song by Canadian singer The Weeknd, best known as one of the hit singles from his album "After Hours" and for its successful remix featuring Ariana Grande.
-
E.
So Many Tears
"So Many Tears" is a reflective and emotionally charged song by Tupac Shakur that explores themes of pain, loss, and inner turmoil.
- F. None of above. chosen
Statements (48)
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: No Tears Left to Cry Description of subject: "No Tears Left to Cry" is a 2018 pop single by Ariana Grande that marked her return to music with an uplifting, resilient message following the Manchester Arena bombing.
Referenced by (9)
Full triples — surface form annotated when it differs from this entity's canonical label.