Overheard
E1035960
Overheard is a Hong Kong crime thriller film featuring Daniel Wu in a story centered on high-stakes surveillance and financial intrigue.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Overheard canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T13331127 — 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: Overheard Context triple: [Daniel Wu, notableWork, Overheard]
-
A.
Heard 'Em Say
"Heard 'Em Say" is a reflective, soulful hip-hop song by Kanye West featuring Adam Levine, known for its introspective lyrics and mellow production.
-
B.
Things Heard & Seen
Things Heard & Seen is a 2021 supernatural horror drama film that blends marital thriller elements with ghost story themes, based on the novel "All Things Cease to Appear" by Elizabeth Brundage.
-
C.
Oh, No, You Didn’t
"Oh, No, You Didn’t" is a song featured on the country music album "Halfway to Home" by American singer-songwriter Brandy Clark.
-
D.
Showing Out
"Showing Out" is a track by hip-hop duo Clipse from their 2009 studio album "Til the Casket Drops."
-
E.
Last Seen Wearing
"Last Seen Wearing" is a crime novel in Colin Dexter's Inspector Morse series, featuring the detective's investigation into the disappearance of a schoolgirl.
- 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: Overheard Target entity description: Overheard is a Hong Kong crime thriller film featuring Daniel Wu in a story centered on high-stakes surveillance and financial intrigue.
-
A.
Heard 'Em Say
"Heard 'Em Say" is a reflective, soulful hip-hop song by Kanye West featuring Adam Levine, known for its introspective lyrics and mellow production.
-
B.
Things Heard & Seen
Things Heard & Seen is a 2021 supernatural horror drama film that blends marital thriller elements with ghost story themes, based on the novel "All Things Cease to Appear" by Elizabeth Brundage.
-
C.
Oh, No, You Didn’t
"Oh, No, You Didn’t" is a song featured on the country music album "Halfway to Home" by American singer-songwriter Brandy Clark.
-
D.
Showing Out
"Showing Out" is a track by hip-hop duo Clipse from their 2009 studio album "Til the Casket Drops."
-
E.
Last Seen Wearing
"Last Seen Wearing" is a crime novel in Colin Dexter's Inspector Morse series, featuring the detective's investigation into the disappearance of a schoolgirl.
- F. None of above. chosen
Statements (37)
| Predicate | Object |
|---|---|
| instanceOf |
Hong Kong film
ⓘ
crime thriller film ⓘ film ⓘ |
| cinematographyBy | Anthony Pun NERFINISHED ⓘ |
| countryOfOrigin | Hong Kong NERFINISHED ⓘ |
| director |
Alan Mak
NERFINISHED
ⓘ
Felix Chong NERFINISHED ⓘ |
| distributor | Sil-Metropole Organisation NERFINISHED ⓘ |
| editedBy | Curran Pang NERFINISHED ⓘ |
| filmingLocation | Hong Kong NERFINISHED ⓘ |
| genre |
crime film
ⓘ
thriller film ⓘ |
| hasSequel |
Overheard 2
NERFINISHED
ⓘ
Overheard 3 NERFINISHED ⓘ |
| mainSubject |
financial crime
ⓘ
surveillance ⓘ |
| musicBy | Chan Kwong-wing NERFINISHED ⓘ |
| narrativeFocus |
insider trading
ⓘ
police surveillance unit ⓘ |
| notableCharacter |
Gene Yeung
NERFINISHED
ⓘ
Johnny Leung NERFINISHED ⓘ Max Lam NERFINISHED ⓘ |
| originalLanguage | Cantonese ⓘ |
| partOf | Overheard film series NERFINISHED ⓘ |
| producer |
Alan Mak
NERFINISHED
ⓘ
Daneil Lam NERFINISHED ⓘ Felix Chong NERFINISHED ⓘ |
| productionCompany | Sil-Metropole Organisation NERFINISHED ⓘ |
| releaseYear | 2009 ⓘ |
| runtimeMinutes | 99 ⓘ |
| screenwriter |
Alan Mak
NERFINISHED
ⓘ
Felix Chong NERFINISHED ⓘ |
| setInLocation | Hong Kong NERFINISHED ⓘ |
| setInPeriod | 21st century ⓘ |
| starring |
Daniel Wu
NERFINISHED
ⓘ
Lau Ching-wan NERFINISHED ⓘ Louis Koo NERFINISHED ⓘ |
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: Overheard Description of subject: Overheard is a Hong Kong crime thriller film featuring Daniel Wu in a story centered on high-stakes surveillance and financial intrigue.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.