Mitti
E136049
Mitti is a character appearing in the film "The Wedding March."
All labels observed (1)
| Label | Occurrences |
|---|---|
| Mitti canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T1201058 — 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: Mitti Context triple: [The Wedding March, featuresCharacter, Mitti]
-
A.
Areia
Areia is a historic colonial-era city in the Brazilian state of Paraíba, known for its preserved architecture and cultural heritage.
-
B.
Talx
Talx is a workforce solutions and employment verification company that operates as a subsidiary of the credit reporting agency Equifax.
-
C.
Rùm
Rùm is a small, rugged island in Scotland’s Inner Hebrides, known for its dramatic mountainous landscape, wildlife, and status as a National Nature Reserve.
-
D.
Malwa
Malwa is a historical region in central India, known for its fertile plateau, strategic location, and significant role in medieval and early modern Indian politics and culture.
-
E.
Bitra
Bitra is a tiny, sparsely populated coral island in India’s Lakshadweep archipelago, known as one of the country’s least inhabited inhabited islands.
- 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: Mitti Target entity description: Mitti is a character appearing in the film "The Wedding March."
-
A.
Areia
Areia is a historic colonial-era city in the Brazilian state of Paraíba, known for its preserved architecture and cultural heritage.
-
B.
Talx
Talx is a workforce solutions and employment verification company that operates as a subsidiary of the credit reporting agency Equifax.
-
C.
Rùm
Rùm is a small, rugged island in Scotland’s Inner Hebrides, known for its dramatic mountainous landscape, wildlife, and status as a National Nature Reserve.
-
D.
Malwa
Malwa is a historical region in central India, known for its fertile plateau, strategic location, and significant role in medieval and early modern Indian politics and culture.
-
E.
Bitra
Bitra is a tiny, sparsely populated coral island in India’s Lakshadweep archipelago, known as one of the country’s least inhabited inhabited islands.
- F. None of above. chosen
Statements (10)
| Predicate | Object |
|---|---|
| instanceOf |
fictional character
ⓘ
film character ⓘ |
| appearsIn | The Wedding March ⓘ |
| characterIn | The Wedding March ⓘ |
| countryOfOriginOfWork |
United States of America
ⓘ
surface form:
United States
|
| hasFictionalUniverse | The Wedding March ⓘ |
| languageOfWork | English ⓘ |
| medium | film ⓘ |
| universe | The Wedding March ⓘ |
| workType | motion picture ⓘ |
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: Mitti Description of subject: Mitti is a character appearing in the film "The Wedding March."
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.