Triple
T20878355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlie and the Great Glass Elevator |
E514079
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Grandpa George |
—
|
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: Grandpa George | Statement: [Charlie and the Great Glass Elevator, character, Grandpa George]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grandpa George Context triple: [Charlie and the Great Glass Elevator, character, Grandpa George]
-
A.
Grandpa George
chosen
Grandpa George is one of Charlie Bucket’s elderly, bedridden grandparents in Roald Dahl’s novel "Charlie and the Chocolate Factory."
-
B.
Uncle George
Uncle George is a central family figure in Eudora Welty’s novel "Delta Wedding," around whom much of the Fairchild clan’s domestic life and emotional dynamics revolve.
-
C.
Mr. George
Mr. George is a married individual known primarily as the husband of Mrs. George.
-
D.
Grandpa Joe
Grandpa Joe is Charlie Bucket’s elderly, spirited grandfather who joins him on the fantastical tour of Willy Wonka’s chocolate factory in the 2005 film adaptation.
-
E.
Grandpa Sam
Grandpa Sam is a minor character in the 1979 legal drama film "...And Justice for All," appearing as part of the protagonist’s personal and family background.
- 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_69e6c6775f108190a79cd5e8c31cecf6 |
completed | April 21, 2026, 12:36 a.m. |
Created at: April 16, 2026, 12:45 p.m.