Triple

T2351154
Position Surface form Disambiguated ID Type / Status
Subject Pugh E47450 entity
Predicate hasNotableBearer P458 FINISHED
Object John David Pugh
John David Pugh is a British Liberal Democrat politician who served as the Member of Parliament for Southport from 2001 to 2017.
 E299534 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: John David Pugh | Statement: [Pugh, hasNotableBearer, John David Pugh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: John David Pugh
Context triple: [Pugh, hasNotableBearer, John David Pugh]
  • A. James Pugh
    James Pugh is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Pugh.
  • B. Clifton Pugh
    Clifton Pugh was an Australian painter renowned for his expressive landscapes and politically charged portraits, including multiple Archibald Prize–winning works.
  • C. Jeff Pugh
    Jeff Pugh is a notable individual distinguished enough in his field or public life to be specifically recognized as a bearer of the surname Pugh.
  • D. Peter Pugh
    Peter Pugh is a British author and publisher best known for writing corporate and business histories, including works on major companies and institutions.
  • E. Steve Pugh
    Steve Pugh is a British comic book artist best known for his work on titles such as Animal Man, Preacher, and Hotwire.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: John David Pugh
Triple: [Pugh, hasNotableBearer, John David Pugh]
Generated description
John David Pugh is a British Liberal Democrat politician who served as the Member of Parliament for Southport from 2001 to 2017.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: John David Pugh
Target entity description: John David Pugh is a British Liberal Democrat politician who served as the Member of Parliament for Southport from 2001 to 2017.
  • A. James Pugh
    James Pugh is a notable individual distinguished enough to be specifically recognized as a prominent bearer of the surname Pugh.
  • B. Clifton Pugh
    Clifton Pugh was an Australian painter renowned for his expressive landscapes and politically charged portraits, including multiple Archibald Prize–winning works.
  • C. Jeff Pugh
    Jeff Pugh is a notable individual distinguished enough in his field or public life to be specifically recognized as a bearer of the surname Pugh.
  • D. Peter Pugh
    Peter Pugh is a British author and publisher best known for writing corporate and business histories, including works on major companies and institutions.
  • E. Steve Pugh
    Steve Pugh is a British comic book artist best known for his work on titles such as Animal Man, Preacher, and Hotwire.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69a88a1b678c8190bce986922ba60ce0 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc6f75d888190a2e41edaa532e83f completed March 7, 2026, 6:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69afc629e4588190b6e56329809ed72d completed March 10, 2026, 7:20 a.m.
NEDg Description generation batch_69afc7cd70088190bb4eb7f3f04031d2 completed March 10, 2026, 7:27 a.m.
NED2 Entity disambiguation (via description) batch_69afc81f909c8190b8908fff327966aa completed March 10, 2026, 7:28 a.m.
Created at: March 4, 2026, 7:54 p.m.