Dan Snow

E129544

Dan Snow is a British historian and television presenter known for his documentaries and books on military and world history.

Try in SPARQL Jump to: Surface forms Statements Referenced by

All labels observed (1)

Label Occurrences
Dan Snow canonical 2

Statements (47)

Predicate Object
instanceOf historian
human
television presenter
activeIn 21st century
awardReceived MBE
Member of the Order of the British Empire
awardReceivedFor services to history
birthName Daniel Robert Snow
countryOfCitizenship United Kingdom
dateOfBirth 1978-12-03
degree History
educatedAt Balliol College, Oxford NERFINISHED
University of Oxford
surface form: Oxford University
employer BBC
father Peter Snow
fieldOfWork history
military history
public history
genre history writing
non-fiction
hasChild three children
hasWebsite https://www.historyhit.com
knownFor popular military history books
television history documentaries
languageSpoken English
mother Ann MacMillan
name Dan Snow self-link
nationality British
notableActivity public engagement with history through digital media
notableWork 20th Century Battlefields
Battlefield Britain
Death or Victory: The Battle of Quebec and the Birth of Empire
Empire of the Seas
History Hit (podcast and media brand)
Battle of Normandy
surface form: Normandy ’44: D-Day and the Epic 77-Day Battle for France

On This Day in History
Battle of Britain (film)
surface form: The Battle of Britain (documentary work)

The Battle of Waterloo Experience
The One Show
occupation author
historian
television presenter
placeOfBirth London, England
surface form: London
relative Ann MacMillan
Peter Snow
residence United Kingdom
spouse Lady Edwina Grosvenor

How these facts were elicited

The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.

Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10.

# Requirements
- If you don't know the subject at all, return an empty list.
- If the subject is not a named entity, return an empty list.
- Include at least one triple where predicate is "instanceOf".
- Do not get too wordy.
- Separate several objects into multiple triples with one object.
Input
Subject: Dan Snow
Description of subject: Dan Snow is a British historian and television presenter known for his documentaries and books on military and world history.

Referenced by (2)

Full triples — surface form annotated when it differs from this entity's canonical label.

Dan Snow name Dan Snow self-link