Triple
T20883851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dr. Paula Olsen |
E514220
|
entity |
| Predicate | roleInStory |
P11527
|
FINISHED |
| Object | examines 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: examines Nell Kellty | Statement: [Dr. Paula Olsen, roleInStory, examines Nell Kellty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: examines Nell Kellty Context triple: [Dr. Paula Olsen, roleInStory, examines 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.
Hesmondhalgh
Hesmondhalgh is an English surname most notably borne by actress Julie Hesmondhalgh, known for her work in British television and theatre.
-
C.
Kathy Lutz
Kathy Lutz was one of the central figures in the real-life family whose alleged haunting in Amityville, New York, inspired the famous Amityville Horror book and film franchise.
-
D.
Fenella Woolgar
Fenella Woolgar is a British actress known for her work in film, television, and theatre, often appearing in period dramas and literary adaptations.
-
E.
Diana Taylor
Diana Taylor is a prominent scholar in performance studies known for her influential work on Latin American performance, memory, and political activism.
- 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.