Research any topic before you write.

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

Nathan Ames: Works, Art & Measurement

Nathan Ames (November 17, 1826 – August 17, 1865) was a patent solicitor who held the first patent in the United States for an escalator-like machine. The patent (#25,076) was granted on August 9, 1859, for an invention he called "Revolving Stairs". The escalator had steps mounted on a continuous belt or chain. He also patented machines for improvement…

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%

Nathan Ames topic overview

The analysis highlights Works, Art and Measurement as prominent areas in the source structure around Nathan Ames.

Related topics
14
Source areas
1
Connected nodes
15
Extracted relationships
4
Concept neighborhoods
15
Bridge connections
15

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 · 14 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.

Known for
"First" escalator patent, #25, 076, in United States
Occupation
Patent Solicitor
Born
Nathan Eames (1826-11-17)November 17, 1826 Roxbury, New Hampshire
Died
August 17, 1865(1865-08-17) (aged 38) Saugus, Massachusetts

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 Nathan Ames connects Entity context

The extracted context around Nathan Ames shows recurring relationship patterns in the source. For example, Nathan Ames → Nathan Eames (1826-11-17)November 17, 1826 Roxbury, New Hampshire Another extracted example is Nathan Ames → August 17, 1865(1865-08-17) (aged 38) Saugus, Massachusetts. Use these groups to spot repeated connection types before inspecting the individual relationships.

Nathan Ames

Top relations

Born · 1
Nathan Ames → Nathan Eames (1826-11-17)November 17, 1826 Roxbury, New Hampshire
Died · 1
Nathan Ames → August 17, 1865(1865-08-17) (aged 38) Saugus, Massachusetts
Known for · 1
Nathan Ames → "First" escalator patent, #25, 076, in United States
Occupation · 1
Nathan Ames → Patent Solicitor

Important terminology

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

Important terminology

patent ames harvard nathan august held machine time one another published dungeon rock solicitor escalator first united states 25 076

Nathan Ames relationships Subject–Predicate–Object triples

TTTA extracted 4 structured relationships around Nathan Ames. Examples in this analysis include Nathan Ames → Born → Nathan Eames (1826-11-17)November 17, 1826 Roxbury, New Hampshire and Nathan Ames → Died → August 17, 1865(1865-08-17) (aged 38) Saugus, Massachusetts. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Nathan AmesBornNathan Eames (1826-11-17)November 17, 1826 Roxbury, New Hampshire1.00infobox
Nathan AmesDiedAugust 17, 1865(1865-08-17) (aged 38) Saugus, Massachusetts1.00infobox
Nathan AmesKnown for"First" escalator patent, #25, 076, in United States1.00infobox
Nathan AmesOccupationPatent Solicitor1.00infobox

Related concept clusters Concept neighborhoods

The concept neighborhoods around Nathan Ames bring nearby vocabulary together. In this analysis, examples include Escalator-like, Harvard and Nathan. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Nathan Ames
    • Escalator-like
    • Harvard
    • Nathan
    • November
    • August
    • First
    • Held
    • Machine
    • Solicitor
    • States
    • United
    • Patent
  • nathan ames
    • Escalator-like
    • Harvard
    • Nathan
    • November
    • August
    • First
    • Held
    • Machine
    • Solicitor
    • States
    • United
    • Patent
  • patent
    • Solicitor
    • States
    • United
    • Called
    • Granted
    • Invention
    • Revolving
    • Stairs
    • Another
    • Escalator
  • escalator
    • Steps
    • First
    • Solicitor
    • States
    • United
    • Patent
  • leather
    • Lynn's
    • Shoemaking
    • One
    • Time
  • solicitor
    • States
    • United
    • Escalator
  • lynn's
    • Shoemaking
    • One
    • Time
  • polygraph
    • Another
    • Machine
    • One

Connections between topic areas Semantic bridges

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

Min side: 3

Map overview Semantic statistics

Nathan Ames

Nodes16
Edges15
Triples4
Avg. degree1.88
Density0.125
Components1

Source & methodology

TTTA analyzes the structure around Nathan Ames to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Works, Art & Measurement, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Nathan Ames · EN edition · Analysis: TopicsToTalkAbout

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