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Kill la Kill: Synopsis, Overview & Release
Kill la Kill (Japanese: キルラキル, Hepburn: Kiru Ra Kiru) is a Japanese anime television series created and produced by Trigger. The series follows vagrant schoolgirl Ryuko Matoi on her search for her father's killer, which brings her into violent conflict with Satsuki Kiryuin, the iron-willed student council president of Honnouji Academy, and her mother…
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Kill la Kill topic overview
The analysis highlights Synopsis, Overview and Release as prominent areas in the source structure around Kill la Kill.
Related topics
77
Source areas
7
Connected nodes
84
Extracted relationships
107
Concept neighborhoods
18
Bridge connections
84
What this topic covers Research coverage
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Overview · 26 topics
Synopsis · 11 topics
Other media · 10 topics
Reception · 10 topics
Release · 10 topics
Soundtrack · 7 topics
Development · 3 topics
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Genre
Action · Comedy · Magical girl
Created by
Trigger · Kazuki Nakashima
Directed by
Hiroyuki Imaishi
English network
UK: Viceland · US: Adult Swim (Toonami)
English publisher
NA: Udon Entertainment
Episodes
24 + OVA (List of episodes)
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How Kill la Kill connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Kill la Kill shows recurring relationship patterns in the source. For example, Kill la Kill → Anime Expo, Arc System Works, Chamber, English, Europe, Game, Games, Gēmu, IF, Ifu, In Europe, It, Japan, July, Junketsu, Kill, Kiru, Little Witch Academia, Nintendo Switch, North America Another extracted example is Kill la Kill → Adult Swim's Toonami, America, Aniplex, August, BS-TBS, CBC, Crunchyroll, Daisuki, February, Hulu, It, Japan, Kill, March, MBS' Animeism, North America, October, TBS, The, United States. Use these groups to spot repeated connection types before inspecting the individual relationships.
Kill la Kill
Top relations
related to Video game· 27
Kill la Kill → Anime Expo, Arc System Works, Chamber, English, Europe, Game, Games, Gēmu, IF, Ifu, In Europe, It, Japan, July, Junketsu, Kill, Kiru, Little Witch Academia, Nintendo Switch, North America
related to Broadcast· 21
Kill la Kill → Adult Swim's Toonami, America, Aniplex, August, BS-TBS, CBC, Crunchyroll, Daisuki, February, Hulu, It, Japan, Kill, March, MBS' Animeism, North America, October, TBS, The, United States
related to Reception· 19
Kill la Kill → Anime News Network, Best, Carl Kimlinger, Eliot Gay, GMA News Online, IGN, Japanator, Joseph Luster, Kat Bailey, Kill, Kotaku, Michael Logarta, Otaku USA, Richard Eisenbeis, Robert Frazer, STRONGER, The, UK Anime Network, UK Anime Network Awards
Kill la Kill relationships Subject–Predicate–Object triples
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 107 structured relationships around Kill la Kill. Examples in this analysis include Kill la Kill → Created by → Trigger and Kill la Kill → Created by → Kazuki Nakashima. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Kill la Kill
Created by
Trigger
1.00
infobox
Kill la Kill
Created by
Kazuki Nakashima
1.00
infobox
Kill la Kill
Directed by
Hiroyuki Imaishi
1.00
infobox
Kill la Kill
English network
UK: Viceland
1.00
infobox
Kill la Kill
English network
US: Adult Swim (Toonami)
1.00
infobox
Kill la Kill
English publisher
NA: Udon Entertainment
1.00
infobox
Kill la Kill
Episodes
24 + OVA (List of episodes)
1.00
infobox
Kill la Kill
Genre
Action
1.00
infobox
Kill la Kill
Genre
Comedy
1.00
infobox
Kill la Kill
Genre
Magical girl
1.00
infobox
Kill la Kill
Licensed by
AUS: Crunchyroll LLC[a]
1.00
infobox
Kill la Kill
Licensed by
NA: Aniplex of America
1.00
infobox
Kill la Kill
Licensed by
UK: Anime Limited
1.00
infobox
Kill la Kill
Magazine
Young Ace
1.00
infobox
Kill la Kill
Music by
Hiroyuki Sawano
1.00
infobox
Kill la Kill
Original network
MBS, TBS, CBC TV
1.00
infobox
Kill la Kill
Original run
October 4, 2013 – March 28, 2014
1.00
infobox
Kill la Kill
Original run
October 4, 2013 – February 4, 2015
1.00
infobox
Kill la Kill
Published by
Kadokawa Shoten
1.00
infobox
Kill la Kill
Studio
Trigger
1.00
infobox
Kill la Kill
Volumes
3
1.00
infobox
Kill la Kill
Written by
Kazuki Nakashima
1.00
infobox
Kill la Kill
Written by
Ryō Akizuki [ja]
1.00
infobox
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Kill la Kill bring nearby vocabulary together. In this analysis, examples include La, Anime and Game. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Kill la Kill
La
Anime
Game
Kazuki
Nakashima
English
Japan
Video
Adaptation
Imaishi
July
Manga
kill la kill
La
Anime
Game
Kazuki
Nakashima
English
Japan
Video
Adaptation
July
Manga
March
anime
La
Kill
Kazuki
Nakashima
Trigger
Series
Animation
Game
Video
Adaptation
Imaishi
July
hiroyuki imaishi
Imaishi
Trigger
Music
Kazuki
Nakashima
Original
Series
Kill
Manga
March
America
Animation
original video animation
Episode
July
Game
Original
Video
Release
Imaishi
Kazuki
Nakashima
Adaptation
Animation
Hiroyuki
aniplex of america
North
Licensed
Release
July
Manga
English
Japan
Video
Series
Released
Imaishi
Kazuki
anime expo 2014
La
Kill
Kazuki
Nakashima
Trigger
Series
Animation
Game
Video
Adaptation
Imaishi
July
anime limited
La
Kill
Kazuki
Nakashima
Trigger
Series
Animation
Game
Video
Adaptation
Imaishi
July
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Kill la Kill, one of the stronger structural bridges in this analysis connects Kill la Kill with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Min side: 3
Kill la Kill — Overview· splits 58 ⟂ 27Kill la Kill — Synopsis· splits 73 ⟂ 12Kill la Kill — Release· splits 74 ⟂ 11Kill la Kill — Other media· splits 74 ⟂ 11Kill la Kill — Reception· splits 74 ⟂ 11Kill la Kill — Soundtrack· splits 77 ⟂ 8Kill la Kill — Development· splits 81 ⟂ 4
Map overview Semantic statistics
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Kill la Kill
Nodes85
Edges84
Triples107
Avg. degree1.98
Density0.023529
Components1
Source & methodology
TTTA analyzes the structure around Kill la Kill to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Synopsis, Overview & Release, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
