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Patton Oswalt: Career, Music & Standards
Patton Peter Oswalt (born January 27, 1969) is an American stand-up comedian and actor. His acting roles include Spence Olchin in the sitcom The King of Queens (1998–2007) and narrating the sitcom The Goldbergs (2013–2023) as adult Adam F. Goldberg. After making his acting debut in the Seinfeld episode "The Couch", he has appeared in a variety of…
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Patton Oswalt topic overview
The analysis highlights Career, Music and Standards as prominent areas in the source structure around Patton Oswalt.
Related topics
210
Source areas
7
Connected nodes
217
Extracted relationships
137
Related term clusters
27
Bridge connections
217
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.
Career · 87 topics
Overview · 48 topics
Personal life · 27 topics
Writing · 18 topics
Early life · 16 topics
Discography · 12 topics
Awards and nominations · 2 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.
Alma mater
College of William & Mary (BA)
Born
Patton Peter Oswalt (1969-01-27) January 27, 1969 (age 57) Portsmouth, Virginia, U.S.
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.
You can skip this section if you’re here for content ideas and keyword inspiration.
Advanced semantic analysis
How Patton Oswalt 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 Patton Oswalt shows recurring relationship patterns in the source. For example, Patton Oswalt → Addiction, America, Bands, DC Comics, December, Fans, Film, GQ, Henry, ISBN, Last Gasp, League, Learning About Life, Lock-gray-alt-2, Lock-green, Lock-red-alt-2, Magical Parenting, May, Michelle McNamara, OCLC Another extracted example is Patton Oswalt → Alpha Theta, Arts, Ashburn, Bachelor, Broad Run High School, California, Carla, College, Doctor, English, General George, Group AA, In May, January, Larry, Mary, Matt Oswalt, Ohio, Oswalt, Patton. Use these groups to spot repeated connection types before inspecting the individual relationships.
Patton Oswalt
Top relations
related to Nonfiction· 43
Patton Oswalt → Addiction, America, Bands, DC Comics, December, Fans, Film, GQ, Henry, ISBN, Last Gasp, League, Learning About Life, Lock-gray-alt-2, Lock-green, Lock-red-alt-2, Magical Parenting, May, Michelle McNamara, OCLC
related to Early life· 31
Patton Oswalt → Alpha Theta, Arts, Ashburn, Bachelor, Broad Run High School, California, Carla, College, Doctor, English, General George, Group AA, In May, January, Larry, Mary, Matt Oswalt, Ohio, Oswalt, Patton
related to Career· 26
Patton Oswalt → Academy Award-winning Pixar, Bill Hicks, Blaine Capatch, Bobcat Goldthwait, Down Periscope, Emo Philips, HBO, Jim Goad, Jonathan Winters, July, Jump Street, Kelsey Grammer, Louis, MADtv, Magnolia, Patton Oswalt's, Queens, Ratatouille, Remy, Richard Pryor
related to EPs· 13
Patton Oswalt → Alcohol, Brian Posehn, Comedy Tour, Compilation, Eugene MirmanFrankensteins, Gumdrops, Maria Bamford, MelvinsComedians, Patton, The Pennsylvania Macaroni Company, WFMU, Zach, Zach GalifianakisMelvins/Patton Oswalt
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 137 structured relationships around Patton Oswalt. Examples in this analysis include Patton Oswalt → Alma mater → College of William & Mary (BA) and Patton Oswalt → Born → Patton Peter Oswalt (1969-01-27) January 27, 1969 (age 57) Portsmouth, Virginia, U.S.. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Patton Oswalt
Alma mater
College of William & Mary (BA)
1.00
infobox
Patton Oswalt
Born
Patton Peter Oswalt (1969-01-27) January 27, 1969 (age 57) Portsmouth, Virginia, U.S.
1.00
infobox
Patton Oswalt
Children
1
1.00
infobox
Patton Oswalt
Genres
Observational comedy
1.00
infobox
Patton Oswalt
Genres
black comedy
1.00
infobox
Patton Oswalt
Genres
insult comedy
1.00
infobox
Patton Oswalt
Genres
sarcasm
1.00
infobox
Patton Oswalt
Genres
satire
1.00
infobox
Patton Oswalt
Genres
deadpan
1.00
infobox
Patton Oswalt
Medium
Stand-up
1.00
infobox
Patton Oswalt
Medium
television
1.00
infobox
Patton Oswalt
Medium
film
1.00
infobox
Patton Oswalt
Occupations
Stand-up comedian
1.00
infobox
Patton Oswalt
Occupations
actor
1.00
infobox
Patton Oswalt
Subjects
American culture
1.00
infobox
Patton Oswalt
Subjects
American politics
1.00
infobox
Patton Oswalt
Subjects
human behavior
1.00
infobox
Patton Oswalt
Subjects
pop culture
1.00
infobox
Patton Oswalt
Subjects
current events
1.00
infobox
Patton Oswalt
Subjects
religion
1.00
infobox
Patton Oswalt
Website
www.pattonoswalt.com
1.00
infobox
Patton Oswalt
Years active
1988–present
1.00
infobox
Patton Oswalt
is a
longtime reader of comics
0.90
text
Patton Oswalt
is a
outspoken atheist and has referred to his atheism in his comedy specials
0.90
text
No triples extracted yet.
Related concept clusters Related term clusters
Related term clusters 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 Patton Oswalt bring nearby vocabulary together. In this analysis, examples include Patton, Comedy and Life. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Patton Oswalt
Patton
Comedy
Life
Film
Comedian
Played
Stand-up
Oswalt's
Role
Album
Book
Released
patton oswalt
Patton
Comedy
Life
Film
Comedian
Played
Stand-up
Oswalt's
Role
Book
Album
Released
grammy award for best comedy album
Special
Released
Writing
Patton
Oswalt
Album
Comedy
Stand-up
Oswalt's
Comedian
Netflix
Television
george s. patton
Comedy
Life
Film
Comedian
Played
Stand-up
Oswalt's
Role
Album
Book
Released
Comics
comedy film
Life
Special
Released
Patton
Writing
Oswalt
Album
Stand-up
Oswalt's
Mcnamara
Television
Character
patton vs. alcohol vs. zach vs. patton
Comedy
Life
Film
Comedian
Played
Stand-up
Oswalt's
Role
Album
Book
Released
Comics
stand-up comedy
Special
Released
Patton
Writing
Oswalt
Album
Comedy
Stand-up
Oswalt's
Comics
Netflix
Television
primetime emmy award for outstanding writing for a variety special
Released
Comedy
Netflix
Special
Writing
Comedian
Oswalt's
Album
Television
Stand-up
April
Film
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 Patton Oswalt, one of the stronger structural bridges in this analysis connects Patton Oswalt with Career. 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.
Patton Oswalt
Nodes218
Edges217
Triples137
Avg. degree1.99
Density0.009174
Components1
Source & methodology
TTTA analyzes the structure around Patton Oswalt to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Career, Music & Standards, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
