Would I Lie to You?
E715129
Would I Lie to You? is a British comedy panel show where celebrity guests and team captains humorously try to distinguish truth from elaborate lies.
All labels observed (3)
| Label | Occurrences |
|---|---|
| Would I Lie to You? canonical | 14 |
| Would I Lie to You? (US) | 1 |
| Would I Lie to You? Australia | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8122267 — 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: Would I Lie to You? Context triple: [Lee Mack, starredIn, Would I Lie to You?]
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A.
"Would I Lie to You?"
"Would I Lie to You?" is a song by the Eurythmics that serves as the energetic opening theme for the television series Drop Dead Diva.
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B.
Which Lie Did I Tell?
"Which Lie Did I Tell?" is William Goldman’s follow-up memoir on screenwriting, offering candid, humorous insights into Hollywood and the craft of writing for film.
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C.
Telling Lies
Telling Lies is an interactive narrative video game that uses full-motion video and a non-linear search-based interface to unravel a complex story through secretly recorded conversations.
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D.
No Lie
"No Lie" is a popular hip-hop single by 2 Chainz featuring Drake, known for its catchy hook and heavy bass production.
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E.
No Lie
"No Lie" is a 2016 dancehall-pop single by Jamaican artist Sean Paul featuring Dua Lipa, known for its catchy hook and international chart success.
- 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: Would I Lie to You? Target entity description: Would I Lie to You? is a British comedy panel show where celebrity guests and team captains humorously try to distinguish truth from elaborate lies.
-
A.
"Would I Lie to You?"
"Would I Lie to You?" is a song by the Eurythmics that serves as the energetic opening theme for the television series Drop Dead Diva.
-
B.
Which Lie Did I Tell?
"Which Lie Did I Tell?" is William Goldman’s follow-up memoir on screenwriting, offering candid, humorous insights into Hollywood and the craft of writing for film.
-
C.
Telling Lies
Telling Lies is an interactive narrative video game that uses full-motion video and a non-linear search-based interface to unravel a complex story through secretly recorded conversations.
-
D.
No Lie
"No Lie" is a popular hip-hop single by 2 Chainz featuring Drake, known for its catchy hook and heavy bass production.
-
E.
No Lie
"No Lie" is a 2016 dancehall-pop single by Jamaican artist Sean Paul featuring Dua Lipa, known for its catchy hook and international chart success.
- F. None of above. chosen
Statements (50)
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: Would I Lie to You? Description of subject: Would I Lie to You? is a British comedy panel show where celebrity guests and team captains humorously try to distinguish truth from elaborate lies.
Referenced by (16)
Full triples — surface form annotated when it differs from this entity's canonical label.
linked to: Would I Lie to You?
linked to: Would I Lie to You?