Before She Disappeared
E739281
"Before She Disappeared" is a contemporary crime thriller novel by Lisa Gardner that follows an ordinary woman who obsessively searches for missing people the police have failed to find.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Before She Disappeared canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8504242 — 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: Before She Disappeared Context triple: [Lisa Gardner, hasWritten, Before She Disappeared]
-
A.
Before We Disappear
"Before We Disappear" is a reflective, emotionally charged rock ballad by Chris Cornell, featured on his 2015 solo album "Higher Truth."
-
B.
The Vanishing
The Vanishing is a psychological thriller film best known for its chilling exploration of obsession and disappearance, and for its acclaimed original 1988 Dutch version directed by George Sluizer.
-
C.
The Missing
The Missing is a 2003 Western thriller film directed by Ron Howard, starring Tommy Lee Jones and Cate Blanchett, about a frontier woman who teams up with her estranged father to rescue her kidnapped daughter.
-
D.
The Missing Sister
The Missing Sister is a bestselling historical fiction novel by Lucinda Riley and the seventh installment in her popular "Seven Sisters" series, following the story of the elusive seventh sister.
-
E.
Disappearing One
"Disappearing One" is a moody, introspective rock song by Chris Cornell from his solo album *Euphoria Morning*, showcasing his distinctive vocals and atmospheric songwriting.
- 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: Before She Disappeared Target entity description: "Before She Disappeared" is a contemporary crime thriller novel by Lisa Gardner that follows an ordinary woman who obsessively searches for missing people the police have failed to find.
-
A.
Before We Disappear
"Before We Disappear" is a reflective, emotionally charged rock ballad by Chris Cornell, featured on his 2015 solo album "Higher Truth."
-
B.
The Vanishing
The Vanishing is a psychological thriller film best known for its chilling exploration of obsession and disappearance, and for its acclaimed original 1988 Dutch version directed by George Sluizer.
-
C.
The Missing
The Missing is a 2003 Western thriller film directed by Ron Howard, starring Tommy Lee Jones and Cate Blanchett, about a frontier woman who teams up with her estranged father to rescue her kidnapped daughter.
-
D.
The Missing Sister
The Missing Sister is a bestselling historical fiction novel by Lucinda Riley and the seventh installment in her popular "Seven Sisters" series, following the story of the elusive seventh sister.
-
E.
Disappearing One
"Disappearing One" is a moody, introspective rock song by Chris Cornell from his solo album *Euphoria Morning*, showcasing his distinctive vocals and atmospheric songwriting.
- F. None of above. chosen
Statements (44)
| Predicate | Object |
|---|---|
| instanceOf |
contemporary fiction work
ⓘ
crime thriller novel ⓘ novel ⓘ |
| author | Lisa Gardner NERFINISHED ⓘ |
| characterOccupation | amateur investigator ⓘ |
| characterTrait | Frankie Elkin is a recovering alcoholic NERFINISHED ⓘ |
| containsElement |
community tensions in a Boston neighborhood
ⓘ
interaction with law enforcement ⓘ investigation of a missing teenage girl ⓘ |
| countryOfOrigin |
United States of America
ⓘ
surface form:
United States
|
| coverArtist | design by Penguin Random House art department ⓘ |
| genre |
crime fiction
ⓘ
mystery ⓘ suspense ⓘ thriller ⓘ |
| hasAwardNomination | Edgar Award nomination (category not specified) NERFINISHED ⓘ |
| hasFormat |
audiobook
ⓘ
ebook ⓘ hardcover ⓘ paperback ⓘ |
| hasISBN | 9781524745042 ⓘ |
| hasSequel | One Step Too Far NERFINISHED ⓘ |
| language | English ⓘ |
| literaryGenreCategory | commercial fiction ⓘ |
| literaryPeriod | 21st century ⓘ |
| mainCharacter | Frankie Elkin NERFINISHED ⓘ |
| market | North American ⓘ |
| narrativePerspective | first-person ⓘ |
| plotSummary | An ordinary woman, Frankie Elkin, searches for missing people the police have failed to find. ⓘ |
| positionInSeries | 1 ⓘ |
| protagonist | Frankie Elkin NERFINISHED ⓘ |
| publicationYear | 2021 ⓘ |
| publisher |
Dutton
NERFINISHED
ⓘ
Penguin Random House NERFINISHED ⓘ |
| series | Frankie Elkin series NERFINISHED ⓘ |
| settingLocation |
Boston
NERFINISHED
ⓘ
Massachusetts NERFINISHED ⓘ |
| targetAudience | adult ⓘ |
| theme |
addiction recovery
ⓘ
missing persons ⓘ obsession ⓘ redemption ⓘ social inequality ⓘ urban crime ⓘ |
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: Before She Disappeared Description of subject: "Before She Disappeared" is a contemporary crime thriller novel by Lisa Gardner that follows an ordinary woman who obsessively searches for missing people the police have failed to find.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.