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James Pickering: Overview, Related Topics & Entities

Sir James Pickering (died c. 1398) was Speaker of the House of Commons of England in 1378 (which met in Gloucester) and again from 1382 to 1383. The protestation which, as Speaker, he made for freedom of speech, and declaring the loyalty of the Commons, was the first recorded in the rolls.

Language: English [EN]
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James Pickering topic overview

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

Related topics
12
Source areas
1
Connected nodes
13
Related term clusters
11
Bridge connections
13

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 · 12 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.

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James Pickering

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

For the semantics nerds

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Advanced semantic analysis

How James Pickering connects Entity context

See recurring relationship patterns around James Pickering before inspecting the individual extracted relationships.

Important terminology

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

Important terminology

westmorland commons speaker killington yorkshire sir pickering 1382 1383 1368 house england gloucester cumberland ireland james died 1398 1378 met

James Pickering relationships Subject–Predicate–Object triples

TTTA extracted structured relationships around James Pickering. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc

Related concept clusters Related term clusters

The concept neighborhoods around James Pickering bring nearby vocabulary together. In this analysis, examples include Died, 1300-1370 and 1310-1375. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • James Pickering
    • Died
    • 1300-1370
    • 1310-1375
    • Alice
    • Descended
    • Elizabeth
    • Family
    • Greystoke
    • Knightly
    • Married
    • Pickering
    • Sir
  • james pickering
    • Died
    • 1300-1370
    • 1310-1375
    • Alice
    • Descended
    • Elizabeth
    • Family
    • Greystoke
    • Knightly
    • Married
    • Pickering
    • Sir
  • house of commons of england
    • England
    • House
    • Commons
    • Speaker
    • Gloucester
    • Met
    • Declaring
    • Freedom
    • Loyalty
    • Made
    • Protestation
    • Recorded
  • freedom of speech
    • Declaring
    • Freedom
    • Loyalty
    • Made
    • Protestation
    • Recorded
    • Rolls
    • Speech
    • Speaker
    • Commons
  • killington
    • Elizabeth
    • Greystoke
    • Knightly
    • Married
    • Son
    • Thomas
    • Westmorland
    • Pickering
    • Yorkshire
  • westmorland
    • Yorkshire
    • Cumberland
    • Ireland
    • Sir
  • yorkshire
    • Ireland
    • Westmorland
    • Killington
    • Sir
  • sheriff of yorkshire
    • Ireland
    • Westmorland
    • Killington
    • Sir

Connections between topic areas Semantic bridges

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

Min side: 3

Map overview Semantic statistics

James Pickering

Nodes14
Edges13
Triples0
Avg. degree1.86
Density0.142857
Components1

Source & methodology

TTTA analyzes the structure around James Pickering 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 — James Pickering · EN edition · Analysis: TopicsToTalkAbout

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