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José Pedro Balmaceda Pascal (* 2. dubna 1975 Santiago de Chile), známý jako Pedro Pascal, je chilský a americký herec. Mezi jeho nejznámější role patří Oberyn Martell ve čtvrté řadě fantasy seriálu Hra o trůny (2014), Javier Peña v kriminálním seriálu Narcos (2015–2017), Mandalorian ve sci-fi seriálu Mandalorian (2019–dosud) a Joel Miller v dramatickém…
The analysis highlights Životopis, Odkazy and Overview as prominent areas in the source structure around Pedro Pascal.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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.
The extracted context around Pedro Pascal shows recurring relationship patterns in the source. For example, Pedro Pascal → Internet Movie Database, Obrázky, Pascal, Slovenské, Wikimedia CommonsPedro Pascal Another extracted example is Pedro Pascal → 1996–dosud. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
pascal pedro chile seriálu roce santiago de the narcos jeho josé balmaceda dubna 2015 mandalorian role hra trůny of 1975
TTTA extracted 16 structured relationships around Pedro Pascal. Examples in this analysis include Pedro Pascal → Aktivní roky → 1996–dosud and Pedro Pascal → Alma mater → Orange County School of the Arts Newyorská univerzita. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Pedro Pascal | Aktivní roky | 1996–dosud | 1.00 | infobox |
| Pedro Pascal | Alma mater | Orange County School of the Arts Newyorská univerzita | 1.00 | infobox |
| Pedro Pascal | Narození | 2. dubna 1975 (51 let) Santiago de Chile, Chile | 1.00 | infobox |
| Pedro Pascal | Povolání | herec, divadelní herec, televizní herec, filmový herec a theatre maker | 1.00 | infobox |
| Pedro Pascal | Příbuzní | Lux Pascal (sestra) | 1.00 | infobox |
| Pedro Pascal | Rodiče | José Balmaceda a Verónica Pascal | 1.00 | infobox |
| Pedro Pascal | Rodné jméno | José Pedro Balmaceda Pascal | 1.00 | infobox |
| Pedro Pascal | Sídlo | New York, Spojené státy americké | 1.00 | infobox |
| Pedro Pascal | Významné role | Oberyn v seriálu Hra o trůny Javier Peña v seriálu Narcos Din Djarin v seriálu The Mandalorian Joel Miller v seriálu The Last of Us | 1.00 | infobox |
| Pedro Pascal | Český dabing | Zdeněk Hruška, Martin Trnavský | 1.00 | infobox |
| Pedro Pascal | related to Externí odkazy | Obrázky | 0.60 | section |
| Pedro Pascal | related to Externí odkazy | Wikimedia CommonsPedro Pascal | 0.60 | section |
The concept neighborhoods around Pedro Pascal bring nearby vocabulary together. In this analysis, examples include Pedro, Santiago and Dosud. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Pedro Pascal, one of the stronger structural bridges in this analysis connects Pedro Pascal with Životopis. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Pedro Pascal to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Životopis, Odkazy & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Pedro Pascal · CS edition · Analysis: TopicsToTalkAbout