Look for Me
E739273
"Look for Me" is a crime thriller novel by Lisa Gardner featuring detective D.D. Warren as she investigates a brutal family massacre and a missing teenage girl.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Look for Me canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8504232 — 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: Look for Me Context triple: [Lisa Gardner, hasWritten, Look for Me]
-
A.
Look at Me
"Look at Me" is a critically acclaimed novel by Jennifer Egan that explores identity, celebrity culture, and the impact of media in contemporary American life.
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B.
Everywhere I Look
Everywhere I Look is a collection of essays and diary-style pieces by Australian writer Helen Garner, reflecting on everyday life, literature, and culture with her characteristic clarity and emotional insight.
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C.
Come See Me
"Come See Me" is a song best known as a 2016 R&B/hip-hop single by Canadian duo PARTYNEXTDOOR featuring Drake.
-
D.
Look at Me Now
"Look at Me Now" is a 2011 hip hop single by Chris Brown featuring Lil Wayne and Busta Rhymes, known for its rapid-fire rap verses and club-oriented production.
-
E.
Can You See Me
"Can You See Me" is a high-energy rock song by the Jimi Hendrix Experience, showcasing Hendrix's virtuosic guitar work and psychedelic sound.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Look for Me Target entity description: "Look for Me" is a crime thriller novel by Lisa Gardner featuring detective D.D. Warren as she investigates a brutal family massacre and a missing teenage girl.
-
A.
Look at Me
"Look at Me" is a critically acclaimed novel by Jennifer Egan that explores identity, celebrity culture, and the impact of media in contemporary American life.
-
B.
Everywhere I Look
Everywhere I Look is a collection of essays and diary-style pieces by Australian writer Helen Garner, reflecting on everyday life, literature, and culture with her characteristic clarity and emotional insight.
-
C.
Come See Me
"Come See Me" is a song best known as a 2016 R&B/hip-hop single by Canadian duo PARTYNEXTDOOR featuring Drake.
-
D.
Look at Me Now
"Look at Me Now" is a 2011 hip hop single by Chris Brown featuring Lil Wayne and Busta Rhymes, known for its rapid-fire rap verses and club-oriented production.
-
E.
Can You See Me
"Can You See Me" is a high-energy rock song by the Jimi Hendrix Experience, showcasing Hendrix's virtuosic guitar work and psychedelic sound.
- F. None of above. chosen
Statements (37)
| Predicate | Object |
|---|---|
| instanceOf |
crime thriller novel
ⓘ
novel ⓘ |
| author | Lisa Gardner NERFINISHED ⓘ |
| countryOfOrigin |
United States of America
ⓘ
surface form:
United States
|
| featuresCharacter | D.D. Warren NERFINISHED ⓘ |
| fictionalUniverse | D.D. Warren universe NERFINISHED ⓘ |
| genre |
crime fiction
ⓘ
mystery ⓘ thriller ⓘ |
| hasDetectiveCharacter | D.D. Warren NERFINISHED ⓘ |
| hasTheme |
family violence
ⓘ
justice ⓘ resilience ⓘ secrets ⓘ survival ⓘ trauma ⓘ trust ⓘ |
| language | English ⓘ |
| literaryPeriod | 21st century literature ⓘ |
| mainCharacter | D.D. Warren NERFINISHED ⓘ |
| mediaType |
audiobook
ⓘ
ebook ⓘ hardcover ⓘ paperback ⓘ print ⓘ |
| narrativeFocus | investigation of a family massacre ⓘ |
| narrativePerspective | third-person narration ⓘ |
| partOfSeries | D.D. Warren series NERFINISHED ⓘ |
| plotElement |
brutal family massacre
ⓘ
missing teenage girl ⓘ |
| protagonistEmployer | Boston Police Department NERFINISHED ⓘ |
| protagonistOccupation | homicide detective ⓘ |
| publisher | Dutton NERFINISHED ⓘ |
| series | D.D. Warren series NERFINISHED ⓘ |
| setting | Boston NERFINISHED ⓘ |
| targetAudience | adult readers ⓘ |
| workOfAuthor | Lisa Gardner 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.
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: Look for Me Description of subject: "Look for Me" is a crime thriller novel by Lisa Gardner featuring detective D.D. Warren as she investigates a brutal family massacre and a missing teenage girl.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.