Cher
E721079
Cher is the four-letter ISO 15924 script code that designates the Cherokee syllabary writing system.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Cher canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8254903 — 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: Cher Context triple: [Cherokee syllabary, iso15924Code, Cher]
-
A.
Cher
Cher is a department in central France, named after the Cher River and known for its historic towns, vineyards, and agricultural landscapes.
-
B.
Cher
Cher is an American singer, actress, and pop culture icon known for her distinctive contralto voice, decades-spanning career, and hits like "Believe" and "If I Could Turn Back Time."
-
C.
Barbara West
Barbara West is an actress known for her role in the acclaimed Australian psychological horror film "The Babadook."
-
D.
Cyndi Grecco
Cyndi Grecco is an American singer best known for performing the upbeat 1970s television theme song "Making Our Dreams Come True" from the sitcom Laverne & Shirley.
-
E.
Olivia Newton-John
Olivia Newton-John was a British-Australian singer and actress best known for her role as Sandy in the film musical "Grease" and for hit songs such as "Physical."
- 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: Cher Target entity description: Cher is the four-letter ISO 15924 script code that designates the Cherokee syllabary writing system.
-
A.
Cher
Cher is a department in central France, named after the Cher River and known for its historic towns, vineyards, and agricultural landscapes.
-
B.
Cher
Cher is an American singer, actress, and pop culture icon known for her distinctive contralto voice, decades-spanning career, and hits like "Believe" and "If I Could Turn Back Time."
-
C.
Barbara West
Barbara West is an actress known for her role in the acclaimed Australian psychological horror film "The Babadook."
-
D.
Cyndi Grecco
Cyndi Grecco is an American singer best known for performing the upbeat 1970s television theme song "Making Our Dreams Come True" from the sitcom Laverne & Shirley.
-
E.
Olivia Newton-John
Olivia Newton-John was a British-Australian singer and actress best known for her role as Sandy in the film musical "Grease" and for hit songs such as "Physical."
- F. None of above. chosen
Statements (30)
| Predicate | Object |
|---|---|
| instanceOf |
ISO 15924 script code
ⓘ
identifier ⓘ script code ⓘ |
| appliesTo |
bibliographic data
ⓘ
digital text encoding ⓘ language technology ⓘ |
| associatedLanguage | Cherokee language ⓘ |
| category | historic and contemporary script ⓘ |
| codeLength | four-letter ⓘ |
| codeStandard | ISO 15924 ⓘ |
| dataType | alphanumeric code ⓘ |
| encodingSystem | ISO 15924 code list ⓘ |
| hasScriptCodeRole | identifies Cherokee script in metadata ⓘ |
| primaryUsageRegion |
North Carolina
ⓘ
Oklahoma ⓘ United States ⓘ
linked to:
United States of America
|
| relatedStandard | Unicode script property ⓘ |
| script | Cherokee syllabary ⓘ |
| scriptDirection | left-to-right ⓘ |
| scriptName |
Cherokee
ⓘ
Cherokee syllabary ⓘ |
| scriptScope | single language primary use ⓘ |
| scriptType | syllabary ⓘ |
| standardizedBy | International Organization for Standardization ⓘ |
| standardNumber | ISO 15924 ⓘ |
| usedIn | Unicode standard ⓘ |
| usesCase | no ⓘ |
| writingSystem | Cherokee ⓘ |
| writingSystemType | Brahmic-derived syllabary ⓘ |
| writingSystemUser | Cherokee people ⓘ |
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: Cher Description of subject: Cher is the four-letter ISO 15924 script code that designates the Cherokee syllabary writing system.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.