Meridianmeridian

Entity Name

representation.text.entity_name

Non-person named entity: organisation names, product names, venue names, song/movie/book titles, brand names. Distinguished from full_name by containing business suffixes (Inc, Corp, Ltd), numbers, ampersands, or other non-personal-name patterns.

Domain
representation
Category
text
Casts to
VARCHAR
Scope
broad_words

Try it

CLI
$ finetype infer -i "The Olive Garden"
→ representation.text.entity_name

DuckDB

Detect
SELECT finetype('The Olive Garden');
-- → 'representation.text.entity_name'
Cast expression
CAST({col} AS VARCHAR)
Safe cast pipeline
-- Normalise and cast in one step
SELECT TRY_CAST(finetype_cast(my_column) AS VARCHAR) AS clean_value
FROM my_table
WHERE finetype(my_column) = 'representation.text.entity_name';

JSON Schema

finetype schema representation.text.entity_name
{
  "$id": "https://meridian.online/schemas/representation.text.entity_name",
  "$schema": "https://json-schema.org/draft/2020-12/schema",
  "description": "Non-person named entity: organisation names, product names, venue names, song/movie/book titles, brand names. Distinguished from full_name by containing business suffixes (Inc, Corp, Ltd), numbers, ampersands, or other non-personal-name patterns.",
  "examples": [
    "The Olive Garden",
    "iPhone 15 Pro",
    "Game of Thrones",
    "Spotify",
    "McKinsey & Company",
    "Toyota Motor Corp",
    "Harvard University",
    "Super Bowl LVIII"
  ],
  "maxLength": 200,
  "minLength": 2,
  "title": "Entity Name",
  "type": "string",
  "x-finetype-broad-type": "VARCHAR",
  "x-finetype-transform": "CAST({col} AS VARCHAR)"
}

Examples

The Olive GardeniPhone 15 ProGame of ThronesSpotifyMcKinsey & CompanyToyota Motor CorpHarvard UniversitySuper Bowl LVIII

Aliases

company_namebrandproduct_namevenue_nametitle