The Killing Moon
E578310
The Killing Moon is a fantasy novel by N. K. Jemisin set in a dream-powered, ancient Egypt–inspired city where priest-assassins harvest magic from sleepers to maintain social order.
All labels observed (1)
| Label | Occurrences |
|---|---|
| The Killing Moon canonical | 4 |
How this entity was disambiguated
This entity first appeared as the object of triple T6227796 — 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 Killing Moon Context triple: [N. K. Jemisin, notableWork, The Killing Moon]
-
A.
The Serpent and the Moon
The Serpent and the Moon is a historical biography by Princess Michael of Kent that explores the love triangle between King Henri II of France, his wife Catherine de’ Medici, and his mistress Diane de Poitiers.
-
B.
Nightfall
"Nightfall" is a classic science fiction short story by Isaac Asimov that explores the psychological and societal collapse of a civilization experiencing darkness and a view of the stars for the first time.
-
C.
The Killing Tree
The Killing Tree is a hardcore punk side project formed by Rise Against vocalist Tim McIlrath, known for its heavier, darker sound compared to his main band.
-
D.
Seven Days to a Killing
Seven Days to a Killing is a 1972 spy thriller novel by Clive Egleton, centered on a British intelligence officer whose son is kidnapped as part of a high-stakes blackmail plot.
-
E.
The Moon of Gomrath
The Moon of Gomrath is a classic British fantasy novel by Alan Garner that continues the mythic adventures begun in The Weirdstone of Brisingamen, blending English folklore with modern children’s fantasy.
- 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 Killing Moon Target entity description: The Killing Moon is a fantasy novel by N. K. Jemisin set in a dream-powered, ancient Egypt–inspired city where priest-assassins harvest magic from sleepers to maintain social order.
-
A.
The Serpent and the Moon
The Serpent and the Moon is a historical biography by Princess Michael of Kent that explores the love triangle between King Henri II of France, his wife Catherine de’ Medici, and his mistress Diane de Poitiers.
-
B.
Nightfall
"Nightfall" is a classic science fiction short story by Isaac Asimov that explores the psychological and societal collapse of a civilization experiencing darkness and a view of the stars for the first time.
-
C.
The Killing Tree
The Killing Tree is a hardcore punk side project formed by Rise Against vocalist Tim McIlrath, known for its heavier, darker sound compared to his main band.
-
D.
Seven Days to a Killing
Seven Days to a Killing is a 1972 spy thriller novel by Clive Egleton, centered on a British intelligence officer whose son is kidnapped as part of a high-stakes blackmail plot.
-
E.
The Moon of Gomrath
The Moon of Gomrath is a classic British fantasy novel by Alan Garner that continues the mythic adventures begun in The Weirdstone of Brisingamen, blending English folklore with modern children’s fantasy.
- F. None of above. chosen
Statements (44)
| Predicate | Object |
|---|---|
| instanceOf | fantasy novel ⓘ |
| author | N. K. Jemisin ⓘ |
| awardNomination |
Nebula Award for Best Novel
ⓘ
World Fantasy Award for Best Novel ⓘ
linked to:
World Fantasy Award
|
| centralConcept |
dream-magic
ⓘ
harvesting magic from sleepers ⓘ priest-assassins ⓘ |
| containsElement |
assassination
ⓘ
city-state politics ⓘ political intrigue ⓘ religious conflict ⓘ |
| countryOfOrigin |
United States
ⓘ
linked to:
United States of America
|
| followedBy | The Shadowed Sun ⓘ |
| genre |
epic fantasy
ⓘ
fantasy ⓘ |
| hasCoverArtStyle | fantasy illustration ⓘ |
| hasISBN | 9780316187282 ⓘ |
| intendedAs | first book of the Dreamblood duology ⓘ |
| language | English ⓘ |
| literarySetting | Gujaareh ⓘ |
| magicSystem | dreamblood ⓘ |
| mainCharacter |
Ehiru
ⓘ
Nijiri ⓘ Sunandi ⓘ |
| mediaType |
ebook
ⓘ
print ⓘ |
| narrativePerspective | third-person limited ⓘ |
| narrativeTone |
dark
ⓘ
serious ⓘ |
| pages | approximately 400 ⓘ |
| partOfSeries |
Dreamblood duology
ⓘ
linked to:
The Dreamblood Duology
|
| protagonistAffiliation | Hetawa ⓘ |
| protagonistOccupation | Gatherer ⓘ |
| publicationDate | 2012 ⓘ |
| publisher | Orbit Books ⓘ |
| religionInFiction | worship of the dream-god Hananja ⓘ |
| series | Dreamblood ⓘ |
| settingInspiredBy |
ancient Egypt
ⓘ
linked to:
Pharaonic Egypt
|
| subgenre | sword and sorcery ⓘ |
| targetAudience | adult ⓘ |
| theme |
duty and sacrifice
ⓘ
faith and morality ⓘ power and corruption ⓘ social order and control ⓘ |
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 Killing Moon Description of subject: The Killing Moon is a fantasy novel by N. K. Jemisin set in a dream-powered, ancient Egypt–inspired city where priest-assassins harvest magic from sleepers to maintain social order.
Referenced by (4)
Full triples — surface form annotated when it differs from this entity's canonical label.