Velda
E211461
Velda is the loyal and resourceful secretary and love interest of private investigator Mike Hammer in the hardboiled crime novel and film "Kiss Me Deadly."
All labels observed (1)
| Label | Occurrences |
|---|---|
| Velda canonical | 2 |
Statements (30)
| Predicate | Object |
|---|---|
| instanceOf |
fictional character
ⓘ
film character ⓘ literary character ⓘ |
| appearsIn |
Kiss Me Deadly
ⓘ
surface form:
Kiss Me Deadly (1955 film)
Kiss Me Deadly ⓘ
surface form:
Kiss Me, Deadly (novel)
|
| appearsInSeries |
Mike Hammer
ⓘ
surface form:
Mike Hammer series
|
| associatedGenreWork |
Kiss Me Deadly
ⓘ
surface form:
Kiss Me Deadly (film noir)
|
| associatedWith |
Mike Hammer
ⓘ
surface form:
private investigator Mike Hammer
|
| basedOnWork |
Kiss Me Deadly
ⓘ
surface form:
Kiss Me, Deadly by Mickey Spillane
|
| characterTrait |
loyal
ⓘ
resourceful ⓘ |
| characterType | hardboiled detective’s secretary ⓘ |
| createdBy | Mickey Spillane ⓘ |
| employer | Mike Hammer ⓘ |
| fictionalUniverse | Mike Hammer universe ⓘ |
| firstAppearanceIn | a Mike Hammer novel by Mickey Spillane ⓘ |
| genre |
hardboiled crime fiction
ⓘ
noir ⓘ |
| medium |
film
ⓘ
literature ⓘ |
| narrativeFunction | assistant to private investigator ⓘ |
| narrativeRole |
deuteragonist in Mike Hammer stories
ⓘ
supporting character ⓘ |
| occupation | secretary ⓘ |
| relationshipToProtagonist |
professional partner
ⓘ
romantic interest ⓘ |
| role | love interest of Mike Hammer ⓘ |
| setting |
United States of America
ⓘ
surface form:
United States
|
| settingGenre | crime fiction setting ⓘ |
| worksFor | Mike Hammer’s detective agency ⓘ |
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: Velda Description of subject: Velda is the loyal and resourceful secretary and love interest of private investigator Mike Hammer in the hardboiled crime novel and film "Kiss Me Deadly."
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.