Julie Herrod
E639372
Julie Herrod is an American actress best known for her role as the young neighbor Gloria in the 1967 suspense film "Wait Until Dark."
All labels observed (1)
| Label | Occurrences |
|---|---|
| Julie Herrod canonical | 1 |
Statements (19)
| Predicate | Object |
|---|---|
| instanceOf |
American actress
ⓘ
actress ⓘ film ⓘ film actress ⓘ film character ⓘ human ⓘ |
| appearedInFilm | Wait Until Dark NERFINISHED ⓘ |
| appearsIn | Wait Until Dark NERFINISHED ⓘ |
| castMember | Julie Herrod NERFINISHED ⓘ |
| countryOfCitizenship | United States of America ⓘ |
| countryOfOrigin | United States of America ⓘ |
| genreOfNotableWork | suspense film ⓘ |
| knownFor | role of Gloria in Wait Until Dark ⓘ |
| languageOfWorkOrName | English ⓘ |
| notableWork | Wait Until Dark NERFINISHED ⓘ |
| occupation | actress ⓘ |
| publicationDate | 1967 ⓘ |
| role | Gloria NERFINISHED ⓘ |
| sexOrGender | female ⓘ |
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: Julie Herrod Description of subject: Julie Herrod is an American actress best known for her role as the young neighbor Gloria in the 1967 suspense film "Wait Until Dark."
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.