Triple
T10171096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clinton family |
E235332
|
entity |
| Predicate | notableMember |
P10
|
FINISHED |
| Object | Virginia Kelley |
E373268
|
NE FINISHED |
How this triple was built (2 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: Virginia Kelley | Statement: [Clinton family, notableMember, Virginia Kelley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Virginia Kelley Context triple: [Clinton family, notableMember, Virginia Kelley]
-
A.
Virginia Kelley
chosen
Virginia Kelley was the mother of former U.S. President Bill Clinton and a nurse anesthetist from Arkansas whose life and memoir gained public attention during and after her son's political rise.
-
B.
Sheila Kelley
Sheila Kelley is an American actress and dancer best known for her roles in film and television and for founding the S Factor pole-dance fitness movement.
-
C.
Grace Calhoun
Grace Calhoun is a collegiate athletics administrator known for leading major university sports programs, including serving as athletic director for Brown University's Brown Bears.
-
D.
Linda Steele
Linda Steele is known as the wife of British speculative fiction author Michael Moorcock.
-
E.
Rachel Keller
Rachel Keller is an American actress known for her roles in television series such as Fargo, Legion, and Tokyo Vice.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca84ceafd0819085828600e11bed6b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdec9e4e0c819097dceb7bf7757948 |
completed | April 2, 2026, 4:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94ae0a9608190ab241b6a62fe807b |
completed | April 10, 2026, 7:09 p.m. |
Created at: March 30, 2026, 9:10 p.m.