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Bandit Queen: Release, Plot & Awards
Bandit Queen is a 1994 Indian Hindi-language biographical action-adventure film based on the life of Phoolan Devi as covered in the book India's Bandit Queen: The True Story of Phoolan Devi by the Indian author Mala Sen. It was directed by Shekhar Kapur and starred Seema Biswas as the title character. The music was composed by Ustad Nusrat Fateh Ali…
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Bandit Queen topic overview
The analysis highlights Release, Plot and Awards as prominent areas in the source structure around Bandit Queen.
Related topics
69
Source areas
7
Connected nodes
76
Extracted relationships
112
Concept neighborhoods
31
Bridge connections
76
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.
Release · 17 topics
Plot · 16 topics
Awards · 14 topics
Overview · 13 topics
Cast · 6 topics
Other sources · 2 topics
Soundtrack · 1 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.
Based on
India's Bandit Queen: The True Story of Phoolan Devi by Mala Sen
Box office
est. ₹221 million (see below)
Budget
₹32.5 million
Cinematography
Ashok Mehta
Country
India
Directed by
Shekhar Kapur
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 Bandit Queen 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 Bandit Queen shows recurring relationship patterns in the source. For example, Bandit Queen → Ahok Mehta, As, Ashok Kumar, Biswas, Brimming, Devi's, Edward Guthmann, Glauber Rocha's Antonio, He, India, Indian Panorama, Indians, International Film Festival, James Berardinelli, Jews, Jonathan Rosenbaum, Kapur, Kenji Mizoguchi's, Mortes, Nazis Another extracted example is Bandit Queen → Allen, Brown, Company, Devi, Fayard, French, HarperCollins, India's Bandit Queen, Irène Frain, ISBN, Isobelle Gidley, Little, Lock-gray-alt-2, Lock-green, Lock-red-alt-2, Mala Sen, Marie-Thérèse Cuny, Me, Moxham, Outlaw. Use these groups to spot repeated connection types before inspecting the individual relationships.
Bandit Queen
Top relations
related to Critical reception· 34
Bandit Queen → Ahok Mehta, As, Ashok Kumar, Biswas, Brimming, Devi's, Edward Guthmann, Glauber Rocha's Antonio, He, India, Indian Panorama, Indians, International Film Festival, James Berardinelli, Jews, Jonathan Rosenbaum, Kapur, Kenji Mizoguchi's, Mortes, Nazis
Bandit Queen → 1994 Indian Hindi-language biographical action-adventure film based on the life of Phoolan Devi as covered in the book India's Bandit Queen, first-rate adventure movie, galvanizing ode to rebellion
Starring· 2
Bandit Queen → Nirmal Pandey, Seema Biswas
Based on· 1
Bandit Queen → India's Bandit Queen: The True Story of Phoolan Devi by Mala Sen
Box office· 1
Bandit Queen → est. ₹221 million (see below)
Budget· 1
Bandit Queen → ₹32.5 million
Cinematography· 1
Bandit Queen → Ashok Mehta
Important terminology
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
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 112 structured relationships around Bandit Queen. Examples in this analysis include Bandit Queen → Based on → India's Bandit Queen: The True Story of Phoolan Devi by Mala Sen and Bandit Queen → Box office → est. ₹221 million (see below). The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Bandit Queen
Based on
India's Bandit Queen: The True Story of Phoolan Devi by Mala Sen
1.00
infobox
Bandit Queen
Box office
est. ₹221 million (see below)
1.00
infobox
Bandit Queen
Budget
₹32.5 million
1.00
infobox
Bandit Queen
Cinematography
Ashok Mehta
1.00
infobox
Bandit Queen
Country
India
1.00
infobox
Bandit Queen
Directed by
Shekhar Kapur
1.00
infobox
Bandit Queen
Distributed by
Amitabh Bachchan Corporation
1.00
infobox
Bandit Queen
Edited by
Renu Saluja
1.00
infobox
Bandit Queen
Language
Hindi
1.00
infobox
Bandit Queen
Music by
Nusrat Fateh Ali Khan
1.00
infobox
Bandit Queen
Produced by
Bobby Bedi
1.00
infobox
Bandit Queen
Production companies
Kaleidoscope Entertainment Film Four International
1.00
infobox
Bandit Queen
Release date
26 January 1994 (1994-01-26)
1.00
infobox
Bandit Queen
Running time
119 minutes
1.00
infobox
Bandit Queen
Starring
Seema Biswas
1.00
infobox
Bandit Queen
Starring
Nirmal Pandey
1.00
infobox
Bandit Queen
Written by
Mala Sen
1.00
infobox
Bandit Queen
is a
1994 Indian Hindi-language biographical action-adventure film based on the life of Phoolan Devi as covered in the book India's Bandit Queen
0.90
text
Bandit Queen
is a
galvanizing ode to rebellion
0.90
text
Bandit Queen
is a
first-rate adventure movie
0.90
text
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 Bandit Queen bring nearby vocabulary together. In this analysis, examples include Queen, India's and Devi. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Bandit Queen
Queen
India's
Devi
Isbn
Film
Mala
True
Awards
International
Story
Best
Biswas
bandit queen
Queen
India's
Devi
Isbn
Film
Mala
True
Awards
International
Story
Best
Biswas
action-adventure film
Queen
Best
Indian
Devi
Awards
India
International
Movie
Hindi
Million
Based
Story
phoolan devi
Queen
Devi
Phoolan
Shekhar
Biswas
Kapur
Seema
India's
Film
Mala
True
Ashok
shekhar kapur
Shekhar
Biswas
Seema
Ashok
Hindi
Awards
International
True
Mala
Mallah
Million
Story
seema biswas
Biswas
Seema
Shekhar
Kapur
Ashok
Hindi
Awards
Devi
International
Best
Queen
Film
national film award for best feature film in hindi
Awards
Ashok
International
Shekhar
Hindi
Kapur
Seema
Queen
Best
Film
Indian
Movie
1994 cannes film festival
Queen
Best
Indian
Devi
Awards
India
International
Movie
Hindi
Million
Based
Story
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 Bandit Queen, one of the stronger structural bridges in this analysis connects Bandit Queen with Release. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Bandit Queen
Nodes77
Edges76
Triples112
Avg. degree1.97
Density0.025974
Components1
Source & methodology
TTTA analyzes the structure around Bandit Queen to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Release, Plot & Awards, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
