Triple
T6421566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill France Jr. |
E127954
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Betty Jane France
Betty Jane France was an American businesswoman and philanthropist best known as a key member of NASCAR’s founding family and the widow of longtime NASCAR chairman Bill France Jr.
|
E593404
|
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: Betty Jane France | Statement: [Bill France Jr., spouse, Betty Jane France]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Betty Jane France Context triple: [Bill France Jr., spouse, Betty Jane France]
-
A.
Jeanne Fort
Jeanne Fort was the wife of Italian Futurist painter Gino Severini and a figure connected to the early 20th-century Parisian art world.
-
B.
Mary Ann Bertles
Mary Ann Bertles was the wife of U.S. Supreme Court Justice Potter Stewart.
-
C.
Marie Jacquelin
Marie Jacquelin was the mother of the renowned French landscape architect André Le Nôtre, famed for designing the gardens of the Palace of Versailles.
-
D.
Jeanette Demont
Jeanette Demont was the first wife of American oil tycoon and art collector J. Paul Getty.
-
E.
Mary Ann Bernard
Mary Ann Bernard is a film editor best known for her work on the biographical drama "Behind the Candelabra."
- 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: Betty Jane France Triple: [Bill France Jr., spouse, Betty Jane France]
Generated description
Betty Jane France was an American businesswoman and philanthropist best known as a key member of NASCAR’s founding family and the widow of longtime NASCAR chairman Bill France Jr.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Betty Jane France Target entity description: Betty Jane France was an American businesswoman and philanthropist best known as a key member of NASCAR’s founding family and the widow of longtime NASCAR chairman Bill France Jr.
-
A.
Jeanne Fort
Jeanne Fort was the wife of Italian Futurist painter Gino Severini and a figure connected to the early 20th-century Parisian art world.
-
B.
Mary Ann Bertles
Mary Ann Bertles was the wife of U.S. Supreme Court Justice Potter Stewart.
-
C.
Marie Jacquelin
Marie Jacquelin was the mother of the renowned French landscape architect André Le Nôtre, famed for designing the gardens of the Palace of Versailles.
-
D.
Jeanette Demont
Jeanette Demont was the first wife of American oil tycoon and art collector J. Paul Getty.
-
E.
Mary Ann Bernard
Mary Ann Bernard is a film editor best known for her work on the biographical drama "Behind the Candelabra."
- 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_69c0083815208190a9b299b8e0640218 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c06903f67c8190a1e5babeede4e183 |
completed | March 22, 2026, 10:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c64bb9f03c8190a9e8e796dbb9330c |
completed | March 27, 2026, 9:19 a.m. |
| NEDg | Description generation | batch_69c64c9c1c4081909c2ccea8eb6b91d8 |
completed | March 27, 2026, 9:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c64d2bffcc819099aff0664e8264fe |
completed | March 27, 2026, 9:26 a.m. |
Created at: March 22, 2026, 4:43 p.m.