Triple

T2351162
Position Surface form Disambiguated ID Type / Status
Subject Pugh E47450 entity
Predicate hasNotableBearer P458 FINISHED
Object William Pugh
William Pugh is a computer scientist best known for inventing the skip list data structure and contributing to the Java Memory Model.
E259901 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: William Pugh | Statement: [Pugh, hasNotableBearer, William Pugh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: William Pugh
Context triple: [Pugh, hasNotableBearer, William Pugh]
  • A. John Pugh
    John Pugh is a British Liberal Democrat politician who served as the Member of Parliament for Southport from 2001 to 2017.
  • B. David Furnish
    David Furnish is a Canadian filmmaker and former advertising executive best known as the longtime partner and husband of musician Elton John.
  • C. Paul Givan
    Paul Givan is a Democratic Unionist Party politician who served as First Minister of Northern Ireland.
  • D. Richard Riley
    Richard Riley is an American politician and educator who served as U.S. Secretary of Education under President Bill Clinton and was previously governor of South Carolina.
  • E. Edward Almond
    Edward Almond was a U.S. Army lieutenant general best known for leading X Corps during the Korean War, including its role in the Inchon Landing and subsequent operations.
  • 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: William Pugh
Triple: [Pugh, hasNotableBearer, William Pugh]
Generated description
William Pugh is a computer scientist best known for inventing the skip list data structure and contributing to the Java Memory Model.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: William Pugh
Target entity description: William Pugh is a computer scientist best known for inventing the skip list data structure and contributing to the Java Memory Model.
  • A. John Pugh
    John Pugh is a British Liberal Democrat politician who served as the Member of Parliament for Southport from 2001 to 2017.
  • B. David Furnish
    David Furnish is a Canadian filmmaker and former advertising executive best known as the longtime partner and husband of musician Elton John.
  • C. Paul Givan
    Paul Givan is a Democratic Unionist Party politician who served as First Minister of Northern Ireland.
  • D. Richard Riley
    Richard Riley is an American politician and educator who served as U.S. Secretary of Education under President Bill Clinton and was previously governor of South Carolina.
  • E. Edward Almond
    Edward Almond was a U.S. Army lieutenant general best known for leading X Corps during the Korean War, including its role in the Inchon Landing and subsequent operations.
  • 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_69aea884ac4c8190b484db995251c136 completed March 9, 2026, 11:01 a.m.
NEDg Description generation batch_69aea92cc66c81909a46b83200960fe2 completed March 9, 2026, 11:04 a.m.
NED2 Entity disambiguation (via description) batch_69aea9b8dff08190a09f0c965dfd6738 completed March 9, 2026, 11:06 a.m.
Created at: March 4, 2026, 7:54 p.m.