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Yan Liben: Art, Gallery & Overview
Yan Liben (Chinese: 閻立本; pinyin: Yán Lìběn; Wade–Giles: Yen Li-pen; c. 600 – 14 November 673), posthumous name Baron Wenzhen of Boling (博陵文貞男), was a Chinese architect, painter, and politician during the early Tang dynasty. His most famous work, possibly the only genuine survival, is the Thirteen Emperors Scroll. He also painted the Portraits at Lingyan…
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Yan Liben topic overview
The analysis highlights Art, Gallery and Overview as prominent areas in the source structure around Yan Liben.
Related topics
43
Source areas
7
Connected nodes
50
Extracted relationships
49
Concept neighborhoods
30
Bridge connections
50
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 · 17 topics
Gallery · 15 topics
Background · 4 topics
Ancient · 3 topics
Modern · 2 topics
During Emperor Gaozong's reign · 1 topics
During Emperor Taizong's reign · 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.
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 Yan Liben 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 Yan Liben shows recurring relationship patterns in the source. For example, Yan Liben → Around, As Yan's, Baron, Boling, During, Emperor Gaozong, Emperor Taizong's, Gongbu Shangshu, He, In, Jiang Ke, The Zuo Xiang, Xi Tai, Xianqing, Yan, Yan Lide, You Xiang, Zhongshu Ling, Zuo Xiang Another extracted example is Yan Liben → Although, Chinese, Do, Emperor Taizong, His Emperor Taizong Receiving, However, It, Lingyan Pavilion, On, Prince, Qin, Summon, Tang, This, Tibetan Envoy, When Yan, Yan. Use these groups to spot repeated connection types before inspecting the individual relationships.
Yan Liben
Top relations
related to During Emperor Gaozong's reign· 19
Yan Liben → Around, As Yan's, Baron, Boling, During, Emperor Gaozong, Emperor Taizong's, Gongbu Shangshu, He, In, Jiang Ke, The Zuo Xiang, Xi Tai, Xianqing, Yan, Yan Lide, You Xiang, Zhongshu Ling, Zuo Xiang
related to During Emperor Taizong's reign· 17
Yan Liben → Although, Chinese, Do, Emperor Taizong, His Emperor Taizong Receiving, However, It, Lingyan Pavilion, On, Prince, Qin, Summon, Tang, This, Tibetan Envoy, When Yan, Yan
related to background· 13
Yan Liben → Both, Chang'an, Guanzhong, He, His, It, Mayi, Shanxi, Shuozhou, Sui, Yan Liben's, Yan Lide, Yan Pi
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.
Yan Liben relationships Subject–Predicate–Object triples
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 49 structured relationships around Yan Liben. Examples in this analysis include Yan Liben → related to background → It and Yan Liben → related to background → His. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Yan Liben
related to background
It
0.60
section
Yan Liben
related to background
His
0.60
section
Yan Liben
related to background
Mayi
0.60
section
Yan Liben
related to background
Shuozhou
0.60
section
Yan Liben
related to background
Shanxi
0.60
section
Yan Liben
related to background
Guanzhong
0.60
section
Yan Liben
related to background
Chang'an
0.60
section
Yan Liben
related to background
Yan Liben's
0.60
section
Yan Liben
related to background
Yan Pi
0.60
section
Yan Liben
related to background
Sui
0.60
section
Yan Liben
related to background
Yan Lide
0.60
section
Yan Liben
related to background
Both
0.60
section
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 Yan Liben bring nearby vocabulary together. In this analysis, examples include Yan, Known and Son. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
tang dynasty
Sui
Tang
Portraits
Painted
Great
Painter
Pavilion
Yan's
Emperors
Imperial
One
Painting
Yan Liben
Yan
Known
Son
Also
Imperial
Taizong's
Designed
Gaozong
Became
Reign
Served
Emperor
yan liben
Yan
Known
Son
Also
Imperial
Taizong's
Designed
Gaozong
Became
Reign
Served
Emperor
han dynasty
Sui
Tang
Portraits
Painted
Great
Painter
Pavilion
Yan's
Emperors
Imperial
One
Painting
sui dynasty
Sui
Tang
Portraits
Yan's
Imperial
Painted
Great
Known
Painter
Pavilion
Emperors
One
emperor wen of sui
Taizong
Reign
Scholars
Served
Taizong's
Gaozong
Pavilion
Yan
Portraits
Yan's
Tang
Imperial
emperor yang of sui
Taizong
Reign
Scholars
Served
Taizong's
Gaozong
Pavilion
Yan
Portraits
Yan's
Tang
Imperial
emperor taizong
Scholars
Taizong
Reign
Served
Taizong's
Gaozong
Pavilion
Yan
Portraits
Tang
Chancellor
Great
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 Yan Liben, one of the stronger structural bridges in this analysis connects Yan Liben with Overview. 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.
Yan Liben
Nodes51
Edges50
Triples49
Avg. degree1.96
Density0.039216
Components1
Source & methodology
TTTA analyzes the structure around Yan Liben to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Art, Gallery & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
