Triple

T1916298
Position Surface form Disambiguated ID Type / Status
Subject Jill Biden E40024 entity
Predicate spouse P13 FINISHED
Object Bill Stevenson
Bill Stevenson is an American businessman best known as the first husband of Jill Biden, the current First Lady of the United States.
E247876 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: Bill Stevenson | Statement: [Jill Biden, spouse, Bill Stevenson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bill Stevenson
Context triple: [Jill Biden, spouse, Bill Stevenson]
  • A. Tim Stevenson
    Tim Stevenson is a British public servant who has served as the ceremonial representative of the monarch in Oxfordshire.
  • B. Phil Burke
    Phil Burke is a Canadian actor best known for his role as Mickey McGinnes on the television drama series "Hell on Wheels."
  • C. John O’Keefe
    John O’Keefe is a British-American neuroscientist renowned for discovering place cells in the hippocampus, a breakthrough that helped reveal the brain’s internal GPS system.
  • D. Larry Robinson
    Larry Robinson is an American academic and administrator best known for serving as president of Florida A&M University.
  • E. Oscar Furlong
    Oscar Furlong was an Argentine basketball player renowned as one of the sport’s early international stars, particularly for leading Argentina to prominence in the mid-20th century.
  • 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: Bill Stevenson
Triple: [Jill Biden, spouse, Bill Stevenson]
Generated description
Bill Stevenson is an American businessman best known as the first husband of Jill Biden, the current First Lady of the United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bill Stevenson
Target entity description: Bill Stevenson is an American businessman best known as the first husband of Jill Biden, the current First Lady of the United States.
  • A. Tim Stevenson
    Tim Stevenson is a British public servant who has served as the ceremonial representative of the monarch in Oxfordshire.
  • B. Phil Burke
    Phil Burke is a Canadian actor best known for his role as Mickey McGinnes on the television drama series "Hell on Wheels."
  • C. John O’Keefe
    John O’Keefe is a British-American neuroscientist renowned for discovering place cells in the hippocampus, a breakthrough that helped reveal the brain’s internal GPS system.
  • D. Larry Robinson
    Larry Robinson is an American academic and administrator best known for serving as president of Florida A&M University.
  • E. Oscar Furlong
    Oscar Furlong was an Argentine basketball player renowned as one of the sport’s early international stars, particularly for leading Argentina to prominence in the mid-20th century.
  • 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_69a8864298748190a2f2fd34f7ef8d77 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb20f54848190b9457e1231aa49db completed March 7, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6ae4225081909ea0e59a5885cfc3 completed March 9, 2026, 6:38 a.m.
NEDg Description generation batch_69ae6bcfd2c481908f69df77f40655e2 completed March 9, 2026, 6:42 a.m.
NED2 Entity disambiguation (via description) batch_69ae6c4d9c04819086e3091bbbf16099 completed March 9, 2026, 6:44 a.m.
Created at: March 4, 2026, 7:35 p.m.