Triple

T13632319
Position Surface form Disambiguated ID Type / Status
Subject Fuqua E325751 entity
Predicate hasNotableBearer P458 FINISHED
Object Don Fuqua
Don Fuqua is an American politician who served as a Democratic U.S. Representative from Florida and later became president of the Aerospace Industries Association.
E1051324 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: Don Fuqua | Statement: [Fuqua, hasNotableBearer, Don Fuqua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Fuqua
Context triple: [Fuqua, hasNotableBearer, Don Fuqua]
  • A. Steven Dillingham
    Steven Dillingham is an American government official who served as Director of the U.S. Census Bureau during the 2020 United States census.
  • B. Jim O’Connor
    Jim O’Connor is the charismatic “gentleman caller” whose visit becomes the emotional climax of Tennessee Williams’s play *The Glass Menagerie*.
  • C. John York
    John York is an American businessman and co-chairman of the San Francisco 49ers NFL franchise.
  • D. Sean Hurley
    Sean Hurley is a musician best known as the bassist for the rock band Born and Raised.
  • E. Mike Nolan
    Mike Nolan is a name shared by several notable individuals, including a British singer from the pop group Bucks Fizz and various sports coaches and players.
  • 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: Don Fuqua
Triple: [Fuqua, hasNotableBearer, Don Fuqua]
Generated description
Don Fuqua is an American politician who served as a Democratic U.S. Representative from Florida and later became president of the Aerospace Industries Association.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Don Fuqua
Target entity description: Don Fuqua is an American politician who served as a Democratic U.S. Representative from Florida and later became president of the Aerospace Industries Association.
  • A. Steven Dillingham
    Steven Dillingham is an American government official who served as Director of the U.S. Census Bureau during the 2020 United States census.
  • B. Jim O’Connor
    Jim O’Connor is the charismatic “gentleman caller” whose visit becomes the emotional climax of Tennessee Williams’s play *The Glass Menagerie*.
  • C. John York
    John York is an American businessman and co-chairman of the San Francisco 49ers NFL franchise.
  • D. Sean Hurley
    Sean Hurley is a musician best known as the bassist for the rock band Born and Raised.
  • E. Mike Nolan
    Mike Nolan is a name shared by several notable individuals, including a British singer from the pop group Bucks Fizz and various sports coaches and players.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc5a490508190924ac40f1dd519d6 completed April 12, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77fab07648190b3b3362a8ffa8961 completed May 3, 2026, 5:02 p.m.
NEDg Description generation batch_69f78070e95c819088982e26fe2d8e26 completed May 3, 2026, 5:05 p.m.
NED2 Entity disambiguation (via description) batch_69f78157b9cc8190a1855cb9715aa7d5 completed May 3, 2026, 5:09 p.m.
Created at: April 9, 2026, 9:51 p.m.