Thank You, Mr. Moto
E808427
"Thank You, Mr. Moto" is a 1937 mystery film starring Peter Lorre as the resourceful Japanese detective Mr. Moto, involving international intrigue and stolen Chinese artifacts.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Thank You, Mr. Moto canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T9540034 — 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: Thank You, Mr. Moto Context triple: [Mr. Moto film series, filmInSeries, Thank You, Mr. Moto]
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A.
The Mr. Moto film series
The Mr. Moto film series is a collection of 1930s–1940s mystery films centered on a clever Japanese detective and secret agent, adapted from John P. Marquand’s novels.
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B.
The Mysterious Dr. Fu Manchu
The Mysterious Dr. Fu Manchu is a 1929 American pre-Code crime film that introduces the infamous criminal mastermind Dr. Fu Manchu, adapted from Sax Rohmer’s popular series of novels.
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C.
The Vengeance of Fu Manchu
The Vengeance of Fu Manchu is a 1967 British–Hong Kong crime adventure film in the Fu Manchu series, starring Christopher Lee as the infamous criminal mastermind.
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D.
The Return of Dr. Fu Manchu
The Return of Dr. Fu Manchu is a 1930 American crime thriller film featuring the infamous fictional villain Dr. Fu Manchu in a tale of revenge and intrigue.
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E.
The Brides of Fu Manchu
The Brides of Fu Manchu is a 1966 British crime-adventure film in the Fu Manchu series, featuring Christopher Lee as the titular villain masterminding a global conspiracy.
- 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: Thank You, Mr. Moto Target entity description: "Thank You, Mr. Moto" is a 1937 mystery film starring Peter Lorre as the resourceful Japanese detective Mr. Moto, involving international intrigue and stolen Chinese artifacts.
-
A.
The Mr. Moto film series
The Mr. Moto film series is a collection of 1930s–1940s mystery films centered on a clever Japanese detective and secret agent, adapted from John P. Marquand’s novels.
-
B.
The Mysterious Dr. Fu Manchu
The Mysterious Dr. Fu Manchu is a 1929 American pre-Code crime film that introduces the infamous criminal mastermind Dr. Fu Manchu, adapted from Sax Rohmer’s popular series of novels.
-
C.
The Vengeance of Fu Manchu
The Vengeance of Fu Manchu is a 1967 British–Hong Kong crime adventure film in the Fu Manchu series, starring Christopher Lee as the infamous criminal mastermind.
-
D.
The Return of Dr. Fu Manchu
The Return of Dr. Fu Manchu is a 1930 American crime thriller film featuring the infamous fictional villain Dr. Fu Manchu in a tale of revenge and intrigue.
-
E.
The Brides of Fu Manchu
The Brides of Fu Manchu is a 1966 British crime-adventure film in the Fu Manchu series, featuring Christopher Lee as the titular villain masterminding a global conspiracy.
- F. None of above. chosen
Statements (39)
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: Thank You, Mr. Moto Description of subject: "Thank You, Mr. Moto" is a 1937 mystery film starring Peter Lorre as the resourceful Japanese detective Mr. Moto, involving international intrigue and stolen Chinese artifacts.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.
subject linked to:
The Mr. Moto film series