Macy Falco
E338830
Macy Falco is the adopted daughter of American actress Edie Falco.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Macy Falco canonical | 3 |
How this entity was disambiguated
This entity first appeared as the object of triple T3228498 — 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: Macy Falco Context triple: [Edie Falco, hasChild, Macy Falco]
-
A.
Mia Dolan
Mia Dolan is an aspiring actress in Los Angeles and one of the two central protagonists of the musical film "La La Land."
-
B.
Madeline Neroni
Madeline Neroni is a captivating, manipulative, and physically disabled beauty in Anthony Trollope’s novel "Barchester Towers," known for using her charm and wit to influence the social and romantic intrigues around her.
-
C.
Maddy Bowen
Maddy Bowen is a determined American journalist in the film "Blood Diamond" who investigates the illicit diamond trade in war-torn Sierra Leone.
-
D.
Mia Zottoli
Mia Zottoli is an American actress and model known for her roles in late-1990s and early-2000s erotic thrillers and B-movies.
-
E.
Lacey Pemberton
Lacey Pemberton is a popular high school girl and one of the central characters in John Green’s novel and film adaptation "Paper Towns."
- 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: Macy Falco Target entity description: Macy Falco is the adopted daughter of American actress Edie Falco.
-
A.
Mia Dolan
Mia Dolan is an aspiring actress in Los Angeles and one of the two central protagonists of the musical film "La La Land."
-
B.
Madeline Neroni
Madeline Neroni is a captivating, manipulative, and physically disabled beauty in Anthony Trollope’s novel "Barchester Towers," known for using her charm and wit to influence the social and romantic intrigues around her.
-
C.
Maddy Bowen
Maddy Bowen is a determined American journalist in the film "Blood Diamond" who investigates the illicit diamond trade in war-torn Sierra Leone.
-
D.
Mia Zottoli
Mia Zottoli is an American actress and model known for her roles in late-1990s and early-2000s erotic thrillers and B-movies.
-
E.
Lacey Pemberton
Lacey Pemberton is a popular high school girl and one of the central characters in John Green’s novel and film adaptation "Paper Towns."
- F. None of above. chosen
Statements (10)
| Predicate | Object |
|---|---|
| instanceOf |
adopted child
ⓘ
human ⓘ |
| adoptedChild | Macy Falco ⓘ |
| adoptiveMother | Edie Falco ⓘ |
| childOf | Edie Falco ⓘ |
| familyName | Falco ⓘ |
| hasChild | Macy Falco ⓘ |
| hasGender | female ⓘ |
| hasNationality | American ⓘ |
| hasParentOccupation | actress ⓘ |
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: Macy Falco Description of subject: Macy Falco is the adopted daughter of American actress Edie Falco.
Referenced by (3)
Full triples — surface form annotated when it differs from this entity's canonical label.