Triple
T20883862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Paula Olsen |
E514220
|
entity |
| Predicate | worksWith |
P398
|
FINISHED |
| Object | Nell Kellty |
—
|
NE NERFINISHED |
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: Nell Kellty | Statement: [Dr. Paula Olsen, worksWith, Nell Kellty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nell Kellty Context triple: [Dr. Paula Olsen, worksWith, Nell Kellty]
-
A.
Nell Kellty
chosen
Nell Kellty is the reclusive, feral young woman who lives in isolation in the Appalachian woods and becomes the focus of a psychological drama in the 1994 film "Nell."
-
B.
Kate Wollman
Kate Wollman was a philanthropist whose donation funded the construction of the famous Wollman Rink in New York City's Central Park.
-
C.
Ellen McNulty
Ellen McNulty is a fictional character appearing in P. G. Wodehouse’s comic novel "The Mating Season," part of the Jeeves and Wooster series.
-
D.
Emily Nelson
Emily Nelson is a mysterious, stylish, and secretive woman whose sudden disappearance drives the darkly comedic thriller plot of "A Simple Favor."
-
E.
Kathleen DuRoss
Kathleen DuRoss was an American former model and socialite best known as the third wife of industrialist Henry Ford II.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4f733f081908a401c0b7beb0b9f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c67bd32c819097301e330e358c49 |
completed | April 21, 2026, 12:36 a.m. |
Created at: April 16, 2026, 12:46 p.m.