Dr. Cal Lightman
E197298
Dr. Cal Lightman is a brilliant but abrasive deception expert who leads a team that uses facial expressions and body language to uncover the truth in the TV series "Lie to Me."
All labels observed (3)
| Label | Occurrences |
|---|---|
| Cal Lightman | 9 |
| Dr. Cal Lightman canonical | 3 |
| Dr. Cal Lightman in Lie to Me | 1 |
Statements (46)
| Predicate | Object |
|---|---|
| instanceOf |
fictional character
ⓘ
television character ⓘ |
| appearsIn | Lie to Me ⓘ |
| appearsInGenre |
crime drama
ⓘ
police procedural ⓘ |
| basedOn | Paul Ekman ⓘ |
| createdBy | Samuel Baum ⓘ |
| education | PhD in psychology (implied in series) ⓘ |
| employer | Lightman Group ⓘ |
| fieldOfWork |
applied psychology
ⓘ
behavioral analysis ⓘ nonverbal communication ⓘ |
| firstAppearance |
Lie to Me
ⓘ
surface form:
Lie to Me, Season 1 Episode 1
|
| gender | male ⓘ |
| genre | crime drama character ⓘ |
| hasDaughter | Emily Lightman ⓘ |
| helps |
government agencies
ⓘ
law enforcement agencies ⓘ private clients ⓘ |
| language | English ⓘ |
| medium | television ⓘ |
| nationality | British ⓘ |
| network | Fox ⓘ |
| notableAbility |
detecting deception with high accuracy
ⓘ
spotting concealed emotions ⓘ |
| occupation |
deception expert
ⓘ
psychologist ⓘ |
| personalityTrait |
abrasive
ⓘ
blunt ⓘ brilliant ⓘ sarcastic ⓘ |
| portrayedBy | Tim Roth ⓘ |
| role |
founder of the Lightman Group
ⓘ
leader of the Lightman Group ⓘ |
| setting | Washington, D.C. ⓘ |
| specialization |
body language
ⓘ
facial expressions ⓘ lie detection ⓘ microexpressions ⓘ |
| usesMethod |
analyzing body language
ⓘ
detecting microexpressions ⓘ reading facial expressions ⓘ voice stress analysis ⓘ |
| worksWith |
Dr. Gillian Foster
ⓘ
Eli Loker ⓘ Ria Torres ⓘ |
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: Dr. Cal Lightman Description of subject: Dr. Cal Lightman is a brilliant but abrasive deception expert who leads a team that uses facial expressions and body language to uncover the truth in the TV series "Lie to Me."
Referenced by (13)
Full triples — surface form annotated when it differs from this entity's canonical label.
this entity surface form:
Cal Lightman
this entity surface form:
Dr. Cal Lightman in Lie to Me
this entity surface form:
Cal Lightman
this entity surface form:
Cal Lightman
this entity surface form:
Cal Lightman
this entity surface form:
Cal Lightman
this entity surface form:
Cal Lightman
this entity surface form:
Cal Lightman