The Good Girls: An Ordinary Killing
E1014876
The Good Girls: An Ordinary Killing is a nonfiction book that investigates the 2014 murders of two teenage girls in rural India, exploring gender violence, caste, and systemic injustice.
All labels observed (1)
| Label | Occurrences |
|---|---|
| The Good Girls: An Ordinary Killing canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T13022872 — 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: The Good Girls: An Ordinary Killing Context triple: [Maryanne Vollers, notableWork, The Good Girls: An Ordinary Killing]
-
A.
The Good Girl
The Good Girl is a 2002 indie drama film starring Jennifer Aniston as a disillusioned small-town store clerk whose affair with a younger coworker upends her stagnant life.
-
B.
Why Women Kill
Why Women Kill is a darkly comedic anthology drama series that explores the lives of women in different decades as they confront infidelity and its sometimes deadly consequences.
-
C.
The Shining Girls
The Shining Girls is a genre-blending thriller novel by Lauren Beukes about a time-traveling serial killer and the survivor who hunts him down.
-
D.
When Women Kill
When Women Kill is a 1983 documentary film directed by Lee Grant that examines the lives and circumstances of women incarcerated for committing homicide.
-
E.
The Girl From Plainville
The Girl From Plainville is a true-crime drama miniseries that explores the real-life "texting suicide" case of Michelle Carter and Conrad Roy III, examining the legal and emotional complexities surrounding the tragedy.
- 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: The Good Girls: An Ordinary Killing Target entity description: The Good Girls: An Ordinary Killing is a nonfiction book that investigates the 2014 murders of two teenage girls in rural India, exploring gender violence, caste, and systemic injustice.
-
A.
The Good Girl
The Good Girl is a 2002 indie drama film starring Jennifer Aniston as a disillusioned small-town store clerk whose affair with a younger coworker upends her stagnant life.
-
B.
Why Women Kill
Why Women Kill is a darkly comedic anthology drama series that explores the lives of women in different decades as they confront infidelity and its sometimes deadly consequences.
-
C.
The Shining Girls
The Shining Girls is a genre-blending thriller novel by Lauren Beukes about a time-traveling serial killer and the survivor who hunts him down.
-
D.
When Women Kill
When Women Kill is a 1983 documentary film directed by Lee Grant that examines the lives and circumstances of women incarcerated for committing homicide.
-
E.
The Girl From Plainville
The Girl From Plainville is a true-crime drama miniseries that explores the real-life "texting suicide" case of Michelle Carter and Conrad Roy III, examining the legal and emotional complexities surrounding the tragedy.
- F. None of above. chosen
Statements (45)
| Predicate | Object |
|---|---|
| instanceOf |
journalistic investigation
ⓘ
nonfiction book ⓘ true crime book ⓘ |
| author | Sonia Faleiro NERFINISHED ⓘ |
| basedOn | real events in 2014 ⓘ |
| contains |
interviews with family members of the victims
ⓘ
interviews with police and officials ⓘ interviews with villagers ⓘ |
| countryOfOrigin | India ⓘ |
| criticalReception | generally positive reviews ⓘ |
| depicts | rural village life in Uttar Pradesh ⓘ |
| examines |
failures of law enforcement
ⓘ
honor and shame in conservative communities ⓘ intersection of gender, caste, and class ⓘ media coverage of crime in India ⓘ sexual violence ⓘ |
| focusesOn | two teenage cousins found hanging from a tree ⓘ |
| genre |
narrative journalism
ⓘ
nonfiction ⓘ true crime ⓘ |
| hasFormat |
audiobook
ⓘ
ebook ⓘ hardcover ⓘ paperback ⓘ |
| mainSubject |
caste system in India
ⓘ
gender-based violence ⓘ murders of two teenage girls in rural India ⓘ patriarchy in rural India ⓘ police investigation ⓘ systemic injustice ⓘ |
| narrativeStyle | reported nonfiction ⓘ |
| notableFor |
highlighting structural violence against women in India
ⓘ
investigating conflicting official narratives ⓘ |
| originalLanguage | English ⓘ |
| praisedFor |
analysis of gender and caste
ⓘ
detailed reporting ⓘ sensitive treatment of victims ⓘ |
| publicationYear | 2021 ⓘ |
| publisher |
Bloomsbury
NERFINISHED
ⓘ
Grove Press NERFINISHED ⓘ |
| setInCountry | India NERFINISHED ⓘ |
| setInPeriod | 2014 ⓘ |
| setInRegion | Uttar Pradesh NERFINISHED ⓘ |
| targetAudience | adult readers ⓘ |
| timeToWrite | multiple years of reporting ⓘ |
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: The Good Girls: An Ordinary Killing Description of subject: The Good Girls: An Ordinary Killing is a nonfiction book that investigates the 2014 murders of two teenage girls in rural India, exploring gender violence, caste, and systemic injustice.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.