UK’s Andrew and Peter Mandelson pictured in bathrobes with Jeffrey Epstein

South China Morning PostCenter-RightEN 1 min read 100% complete by Agence France-PresseMarch 13, 2026 at 08:04 PM

AI Summary

short article 1 min

A recently unearthed photograph shows Prince Andrew and Peter Mandelson in bathrobes with Jeffrey Epstein. The undated image, believed to be the first of the two men with Epstein, was included in millions of documents released by the US Justice Department. Reported by ITV News, the photograph depicts Andrew and Mandelson sitting barefoot on a wooden deck, with Epstein also present. The picture is believed to have been taken on Martha's Vineyard between 1999 and 2000, prior to Epstein's imprisonment. The release of the photograph occurs amidst ongoing scrutiny in the UK regarding both Andrew and Mandelson's ties to Epstein.

Key Entities & Roles

Key Player Opposition Context

Washington, D.C. 30% United States Justice Department 40% King Charles III 40% Massachusetts 50% ITV News ×250% United States ×360% United Kingdom 70% Martha's Vineyard 70% Peter Mandelson 80% Andrew, Duke of York (Prince Andrew) ×290% Jeffrey Epstein ×3100%

Keywords

jeffrey epstein 100% prince andrew 90% peter mandelson 80% sex offender 80% photograph 70% scandal 70% uk 60% ties 50% us justice department 40%

Sentiment Analysis

Negative

Score: -0.40

Source Transparency

Source

South China Morning Post

Political Lean

Center-Right (0.50)

Far LeftCenterFar Right

Classification Confidence

90%

Geographic Perspective

United Kingdom

This article was automatically classified using rule-based analysis. The political bias score ranges from -1 (far left) to +1 (far right).

Topic Connections

Explore how the topics in this article connect to other news stories

Network visualization showing 51 related topics

View Full Graph

jeffrey epstein prince andrew peter mandelson sex offender photograph scandal uk ties us justice department

Explore Full Topic Graph

Find Similar Articles

AI-Powered

Discover articles with similar content using semantic similarity analysis.