Marissa
E713511
Marissa is a feminine given name commonly used in English-speaking countries.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Marissa canonical | 6 |
How this entity was disambiguated
This entity first appeared as the object of triple T8113718 — 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: Marissa Context triple: [Marissa Ribisi, givenName, Marissa]
-
A.
Sheilia
Sheilia is a feminine given name, typically considered an alternative spelling of the name Sheila.
-
B.
Marisa
Marisa is a feminine given name of Latin origin, commonly used in Spanish- and Italian-speaking cultures.
-
C.
Marla
Marla is a feminine given name most notably borne by American actress and television personality Marla Maples.
-
D.
Katisha
Katisha is a formidable, older noblewoman and comic villainess in Gilbert and Sullivan’s operetta "The Mikado," known for her dramatic presence and unrequited love for Nanki-Poo.
-
E.
Shira
Shira is the eroded western volcanic cone and plateau of Mount Kilimanjaro, forming one of the mountain’s three main summits.
- 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: Marissa Target entity description: Marissa is a feminine given name commonly used in English-speaking countries.
-
A.
Sheilia
Sheilia is a feminine given name, typically considered an alternative spelling of the name Sheila.
-
B.
Marisa
Marisa is a feminine given name of Latin origin, commonly used in Spanish- and Italian-speaking cultures.
-
C.
Marla
Marla is a feminine given name most notably borne by American actress and television personality Marla Maples.
-
D.
Katisha
Katisha is a formidable, older noblewoman and comic villainess in Gilbert and Sullivan’s operetta "The Mikado," known for her dramatic presence and unrequited love for Nanki-Poo.
-
E.
Shira
Shira is the eroded western volcanic cone and plateau of Mount Kilimanjaro, forming one of the mountain’s three main summits.
- F. None of above. chosen
Statements (33)
| Predicate | Object |
|---|---|
| instanceOf |
feminine given name
ⓘ
given name ⓘ |
| associatedWithCulture |
Western culture
ⓘ
linked to:
Western civilization
|
| canBeMiddleName | yes ⓘ |
| canBeShortFormOf |
Maria (in some usages)
ⓘ
linked to:
Maria (character)
Maris ⓘ Marisa ⓘ |
| endsWithLetter | a ⓘ |
| gender | feminine ⓘ |
| grammaticalCategory | proper noun ⓘ |
| hasNameDay | varies by country ⓘ |
| hasNotableBearer |
Marissa Jaret Winokur
ⓘ
Marissa Mayer ⓘ Marissa Nadler ⓘ |
| hasNotableFictionalBearer | Marissa Cooper ⓘ |
| hasSpellingVariant |
Marisa
ⓘ
Marissa(h) (rare variants) ⓘ |
| isGivenNameFor | humans ⓘ |
| isUnisexName | no (primarily feminine) ⓘ |
| nameCategory | modern given name ⓘ |
| nameLength | 7 letters ⓘ |
| nameType | personal name ⓘ |
| nameUsageContext | first name ⓘ |
| nameUsageRegion | English-speaking countries ⓘ |
| popularity |
commonly used in the United States (late 20th century)
ⓘ
used in Australia ⓘ used in Canada ⓘ used in the United Kingdom ⓘ |
| popularityTrend | saw increased use in the late 20th century ⓘ |
| startsWithLetter | M ⓘ |
| syllableCount | 3 syllables ⓘ |
| usedInLanguage | English ⓘ |
| writingSystem | Latin alphabet ⓘ |
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: Marissa Description of subject: Marissa is a feminine given name commonly used in English-speaking countries.
Referenced by (6)
Full triples — surface form annotated when it differs from this entity's canonical label.