Peter Snow

E551846

human radio presenter

Peter Snow is a British television and radio presenter and historian, best known for his long-running work as an election night analyst for the BBC.

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All labels observed (1)

Label	Occurrences
Peter Snow canonical	3

Statements (46)

Predicate	Object
instanceOf	human ⓘ radio presenter ⓘ
child	Dan Snow NERFINISHED ⓘ
countryOfCitizenship	United Kingdom ⓘ
dateOfBirth	1938-04-20 ⓘ
educatedAt	Balliol College, Oxford NERFINISHED ⓘ Wellington College NERFINISHED ⓘ
employer	BBC ⓘ ITN NERFINISHED ⓘ
genre	military history ⓘ popular history ⓘ
hasFamilyName	Snow NERFINISHED ⓘ
hasGivenName	Peter NERFINISHED ⓘ
languagesSpokenWrittenOrSigned	English ⓘ
nationality	British ⓘ
notableFor	election night swingometer analysis ⓘ
notableWork	20th Century Battlefields NERFINISHED ⓘ Armada: 1588 NERFINISHED ⓘ BBC election night coverage NERFINISHED ⓘ Battlefield Britain NERFINISHED ⓘ Newsnight NERFINISHED ⓘ The Battle of Waterloo Experience NERFINISHED ⓘ To War with Wellington NERFINISHED ⓘ Tomorrow's World NERFINISHED ⓘ When Britain Burned the White House NERFINISHED ⓘ
occupation	author ⓘ historian ⓘ radio presenter ⓘ television presenter ⓘ
placeOfBirth	Dublin NERFINISHED ⓘ
presented	20th Century Battlefields NERFINISHED ⓘ Battlefield Britain NERFINISHED ⓘ Election night specials on BBC ⓘ Newsnight NERFINISHED ⓘ Tomorrow's World NERFINISHED ⓘ
relative	Dan Snow NERFINISHED ⓘ Jon Snow NERFINISHED ⓘ
sexOrGender	male ⓘ
spouse	Ann MacMillan NERFINISHED ⓘ
workedOn	BBC General Election coverage 1979 NERFINISHED ⓘ BBC General Election coverage 1983 NERFINISHED ⓘ BBC General Election coverage 1987 NERFINISHED ⓘ BBC General Election coverage 1992 NERFINISHED ⓘ BBC General Election coverage 1997 NERFINISHED ⓘ BBC General Election coverage 2001 NERFINISHED ⓘ BBC General Election coverage 2005 NERFINISHED ⓘ

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: Peter Snow
Description of subject: Peter Snow is a British television and radio presenter and historian, best known for his long-running work as an election night analyst for the BBC.

Referenced by (3)

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

Dan Snow → father → Peter Snow ⓘ

Dan Snow → relative → Peter Snow ⓘ

Ludgrove School → notableAlumnus → Peter Snow ⓘ