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.