Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Ted Sears: Overview, Related Topics & Entities

Edward Robert Sears (March 13, 1900 – August 22, 1958) was an American animator during the Golden Age of American animation. Sears worked for the Fleischer Studios in the late-1920s and early-1930s, and was hired away from Max Fleischer to work at the Walt Disney studio in 1931.

Language: English [EN]
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
100%
More settings
100% 100% 100% 100% 100%

Ted Sears topic overview

The analysis highlights Overview, Related Topics and Entities as prominent areas in the source structure around Ted Sears.

Related topics
19
Source areas
1
Connected nodes
20
Extracted relationships
6
Concept neighborhoods
12
Bridge connections
20

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 · 19 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.

Occupation
Animator
Born
Edward Robert Sears Jr. (1900-03-13)March 13, 1900 Greenfield, Massachusetts
Died
August 22, 1958(1958-08-22) (aged 58) Los Angeles, California

Explore all related topics Closing gaps

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.

Overview

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Ted Sears connects Entity context

The extracted context around Ted Sears shows recurring relationship patterns in the source. For example, Ted Sears → Find, Grave, IMDbTed Sears Another extracted example is Ted Sears → Edward Robert Sears Jr. (1900-03-13)March 13, 1900 Greenfield, Massachusetts. Use these groups to spot repeated connection types before inspecting the individual relationships.

Ted Sears

Top relations

related to External links · 3
Ted Sears → Find, Grave, IMDbTed Sears
Born · 1
Ted Sears → Edward Robert Sears Jr. (1900-03-13)March 13, 1900 Greenfield, Massachusetts
Died · 1
Ted Sears → August 22, 1958(1958-08-22) (aged 58) Los Angeles, California
Occupation · 1
Ted Sears → Animator

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

sears pinocchio animator edward 1900 1958 age work disney greenfield massachusetts california born died los angeles fantasia dumbo bambi cinderella

Ted Sears relationships Subject–Predicate–Object triples

TTTA extracted 6 structured relationships around Ted Sears. Examples in this analysis include Ted Sears → Born → Edward Robert Sears Jr. (1900-03-13)March 13, 1900 Greenfield, Massachusetts and Ted Sears → Died → August 22, 1958(1958-08-22) (aged 58) Los Angeles, California. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Ted SearsBornEdward Robert Sears Jr. (1900-03-13)March 13, 1900 Greenfield, Massachusetts1.00infobox
Ted SearsDiedAugust 22, 1958(1958-08-22) (aged 58) Los Angeles, California1.00infobox
Ted SearsOccupationAnimator1.00infobox
Ted Searsrelated to External linksIMDbTed Sears0.60section
Ted Searsrelated to External linksFind0.60section
Ted Searsrelated to External linksGrave0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Ted Sears bring nearby vocabulary together. In this analysis, examples include Born, Disney and Greenfield. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Ted Sears
    • Born
    • Disney
    • Greenfield
    • Massachusetts
    • Pinocchio
    • Work
    • Away
    • Bambi
    • Dumbo
    • Early-1930s
    • Fantasia
    • First
  • ted sears
    • Born
    • Disney
    • Greenfield
    • Massachusetts
    • Pinocchio
    • Work
    • Away
    • Bambi
    • Dumbo
    • Early-1930s
    • Fantasia
    • First
  • the walt disney studio
    • Studio
    • Studios
    • Walt
    • Work
    • Worked
    • Bambi
    • Dumbo
    • Early-1930s
    • Fantasia
    • First
    • Fleischer
    • Hired
  • animator
    • Animation
    • August
    • Golden
    • March
    • Robert
    • Age
    • Angeles
    • Born
    • California
    • Died
    • Edward
    • Greenfield
  • golden age of american animation
    • Animation
    • August
    • Golden
    • March
    • Robert
    • Age
    • American
    • Animator
    • Edward
    • Angeles
    • California
    • Died
  • fleischer studios
    • Away
    • Early-1930s
    • Hired
    • Late-1920s
    • Max
    • Studio
    • Studios
    • Walt
    • Worked
    • Disney
    • Work
    • Sears
  • los angeles, california
    • California
    • Died
    • Los
    • Animator
    • Born
    • Greenfield
    • Massachusetts
    • Sears
  • bambi
    • Dumbo
    • Fantasia
    • First
    • Disney
    • Pinocchio
    • Work
    • Sears

Connections between topic areas Semantic bridges

Bridges highlight paths between different parts of the Ted Sears map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Map overview Semantic statistics

Ted Sears

Nodes21
Edges20
Triples6
Avg. degree1.9
Density0.095238
Components1

Source & methodology

TTTA analyzes the structure around Ted Sears to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Overview, Related Topics & Entities, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Ted Sears · EN edition · Analysis: TopicsToTalkAbout

For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.