Fair Warning
E379914
Fair Warning is a crime thriller novel by Michael Connelly featuring journalist Jack McEvoy investigating a serial killer who targets victims through genetic data.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Fair Warning canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T3682186 — 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.
Target entity: Fair Warning Context triple: [Michael Connelly, notableWork, Fair Warning]
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A.
Without Warning
"Without Warning" is a 2017 collaborative trap album by 21 Savage, Offset, and producer Metro Boomin, known for its dark, horror-themed sound and surprise Halloween release.
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B.
Beware
"Beware" is a 2013 hip-hop single by Big Sean featuring Lil Wayne and Jhené Aiko, known for its melodic hook and themes of relationship turmoil.
-
C.
Beware
Beware is a 2009 studio album by American singer-songwriter Bonnie "Prince" Billy, known for its introspective, folk-influenced songs and melancholic, poetic lyricism.
-
D.
Warning
"Warning" is a 2000 studio album by American punk rock band Green Day that marked a stylistic shift toward more acoustic and pop-influenced sounds.
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E.
Warning
"Warning" is a 1994 storytelling-driven hip-hop track by The Notorious B.I.G. that showcases his vivid narrative style and gritty depiction of street life.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Fair Warning Target entity description: Fair Warning is a crime thriller novel by Michael Connelly featuring journalist Jack McEvoy investigating a serial killer who targets victims through genetic data.
-
A.
Without Warning
"Without Warning" is a 2017 collaborative trap album by 21 Savage, Offset, and producer Metro Boomin, known for its dark, horror-themed sound and surprise Halloween release.
-
B.
Beware
"Beware" is a 2013 hip-hop single by Big Sean featuring Lil Wayne and Jhené Aiko, known for its melodic hook and themes of relationship turmoil.
-
C.
Beware
Beware is a 2009 studio album by American singer-songwriter Bonnie "Prince" Billy, known for its introspective, folk-influenced songs and melancholic, poetic lyricism.
-
D.
Warning
"Warning" is a 2000 studio album by American punk rock band Green Day that marked a stylistic shift toward more acoustic and pop-influenced sounds.
-
E.
Warning
"Warning" is a 1994 storytelling-driven hip-hop track by The Notorious B.I.G. that showcases his vivid narrative style and gritty depiction of street life.
- F. None of above. chosen
Statements (38)
| Predicate | Object |
|---|---|
| instanceOf |
crime thriller novel
ⓘ
mystery novel ⓘ novel ⓘ |
| author | Michael Connelly ⓘ |
| awardNomination |
Barry Award
ⓘ
surface form:
Barry Award for Best Thriller (nomination)
|
| countryOfOrigin |
United States of America
ⓘ
surface form:
United States
|
| coverArtist | U.S. first edition cover designer (Little, Brown and Company) ⓘ |
| featuresCharacter | Jack McEvoy ⓘ |
| follows | The Scarecrow ⓘ |
| genre |
crime fiction
ⓘ
mystery ⓘ thriller ⓘ |
| hasISBN | 9780316539425 ⓘ |
| hasTheme |
corporate responsibility
ⓘ
data exploitation ⓘ ethical issues in genetic testing ⓘ investigative reporting risks ⓘ surveillance ⓘ |
| language | English ⓘ |
| mainCharacter | Jack McEvoy ⓘ |
| mediaType |
audiobook
ⓘ
ebook ⓘ print ⓘ |
| narrativePerspective | first-person ⓘ |
| partOfBibliographyOf | Michael Connelly ⓘ |
| precedes | none ⓘ |
| protagonistEmployer | FairWarning.org ⓘ |
| protagonistOccupation | journalist ⓘ |
| publicationYear | 2020 ⓘ |
| publisher | Little, Brown and Company ⓘ |
| series | Jack McEvoy series ⓘ |
| setting | Los Angeles ⓘ |
| subject |
DNA testing
ⓘ
consumer DNA databases ⓘ genetic data ⓘ investigative journalism ⓘ privacy ⓘ serial killers ⓘ |
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.
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.
Subject: Fair Warning Description of subject: Fair Warning is a crime thriller novel by Michael Connelly featuring journalist Jack McEvoy investigating a serial killer who targets victims through genetic data.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.