Find Me
E835933
"Find Me" is a track by the American rock band Walls, known for its emotive lyrics and atmospheric sound.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Find Me canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T10004994 — 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: Find Me Context triple: [Walls, hasTrack, Find Me]
-
A.
Find My
Find My is Apple's device and item tracking service that lets users locate lost or stolen Apple products and compatible accessories across their devices.
-
B.
Search Me
"Search Me" is a Christian pop-rock song by Katy Hudson (later known as Katy Perry) from her early gospel-oriented music career.
-
C.
Findon
Findon is a village in West Sussex, England, situated near the South Downs and known for its rural character and historic charm.
-
D.
To Find a Friend
"To Find a Friend" is a reflective, narrative-driven song by Tom Petty from his 1994 album *Wildflowers*, noted for its bittersweet lyrics and gentle acoustic arrangement.
-
E.
Find Me Finding You
Find Me Finding You is a solo studio album by French musician Laetitia Sadier, blending avant-pop, indie, and politically tinged lyrics.
- 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: Find Me Target entity description: "Find Me" is a track by the American rock band Walls, known for its emotive lyrics and atmospheric sound.
-
A.
Find My
Find My is Apple's device and item tracking service that lets users locate lost or stolen Apple products and compatible accessories across their devices.
-
B.
Search Me
"Search Me" is a Christian pop-rock song by Katy Hudson (later known as Katy Perry) from her early gospel-oriented music career.
-
C.
Findon
Findon is a village in West Sussex, England, situated near the South Downs and known for its rural character and historic charm.
-
D.
To Find a Friend
"To Find a Friend" is a reflective, narrative-driven song by Tom Petty from his 1994 album *Wildflowers*, noted for its bittersweet lyrics and gentle acoustic arrangement.
-
E.
Find Me Finding You
Find Me Finding You is a solo studio album by French musician Laetitia Sadier, blending avant-pop, indie, and politically tinged lyrics.
- F. None of above. chosen
Statements (9)
| Predicate | Object |
|---|---|
| instanceOf |
rock band
ⓘ
song ⓘ |
| artist | Walls NERFINISHED ⓘ |
| countryOfOrigin |
United States of America
ⓘ
United States of America ⓘ |
| genre | rock ⓘ |
| lyricsCharacterization | emotive lyrics ⓘ |
| performer | Walls NERFINISHED ⓘ |
| soundCharacterization | atmospheric sound ⓘ |
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: Find Me Description of subject: "Find Me" is a track by the American rock band Walls, known for its emotive lyrics and atmospheric sound.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.