Triple
T20878708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Glass Elevator |
E514087
|
entity |
| Predicate | usedByCharacter |
P31799
|
FINISHED |
| Object | Grandma Josephine |
—
|
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: Grandma Josephine | Statement: [Great Glass Elevator, usedByCharacter, Grandma Josephine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grandma Josephine Context triple: [Great Glass Elevator, usedByCharacter, Grandma Josephine]
-
A.
Grandma Josephine
chosen
Grandma Josephine is one of Charlie Bucket’s elderly, bedridden grandmothers in Roald Dahl’s novel "Charlie and the Chocolate Factory."
-
B.
Josephine (grandmother)
Josephine is the grandmother of Omar Little, a key character in the television series "The Wire."
-
C.
Grandmother Spaulding
Grandmother Spaulding is a warm, wise, and nostalgic figure in Ray Bradbury’s novel "Dandelion Wine," embodying the comforts and traditions of small-town family life.
-
D.
Nannie
Nannie is a feminine given name, often used as a diminutive or variant of names like Nancy or Anne.
-
E.
Aunt Louie
Aunt Louie is a key character in the crime drama series "Snowfall," known as Franklin Saint’s tough, business-savvy aunt who helps build and manage his growing drug empire.
- 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.