Triple
T11984580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlie Bucket |
E285244
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Mrs. Bucket |
E958270
|
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: Mrs. Bucket | Statement: [Charlie Bucket, relative, Mrs. Bucket]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mrs. Bucket Context triple: [Charlie Bucket, relative, Mrs. Bucket]
-
A.
Mr. Bucket
chosen
Mr. Bucket is Charlie Bucket’s hardworking but impoverished father in Roald Dahl’s novel "Charlie and the Chocolate Factory."
-
B.
Dora Spenlow
Dora Spenlow is a charming but naive young woman who becomes David Copperfield’s first wife in Charles Dickens’s novel "David Copperfield."
-
C.
Agnes Wickfield
Agnes Wickfield is a central character in Charles Dickens's novel "David Copperfield," known for her steadfast moral integrity, quiet strength, and enduring love for the protagonist.
-
D.
Charlie Bucket
Charlie Bucket is the kind-hearted, impoverished boy who becomes the central protagonist and eventual heir to Willy Wonka’s chocolate factory in Roald Dahl’s story and its 2005 film adaptation.
-
E.
Matilda Wormwood
Matilda Wormwood is the brilliant, book-loving young girl with telekinetic powers at the center of Roald Dahl’s novel and its film adaptation.
- 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903973c848190aac871d6dfecc74b |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f63e99d88190b718217005464954 |
completed | May 2, 2026, 1:03 p.m. |
Created at: April 8, 2026, 9:46 p.m.