Triple
T23446198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Susan Bones |
E565543
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Mrs Bones |
—
|
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: Mrs Bones | Statement: [Susan Bones, relative, Mrs Bones]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mrs Bones Context triple: [Susan Bones, relative, Mrs Bones]
-
A.
Mr Bones
Mr Bones is a recurring, often melancholic and darkly comic alter-ego figure in John Berryman’s poetic sequence "The Dream Songs."
-
B.
Mr Bones
chosen
Mr Bones is a member of the Bones family in the Harry Potter universe, related to Hogwarts student Susan Bones.
-
C.
Mrs Funnybones
Mrs Funnybones is a bestselling humorous non-fiction book by Indian author Twinkle Khanna, known for its witty observations on modern life and everyday Indian society.
-
D.
The Bone Bed
The Bone Bed is a crime novel in Patricia Cornwell’s Kay Scarpetta series, featuring the forensic pathologist investigating a complex murder linked to dinosaur bones and a missing paleontologist.
-
E.
Pile O’ Bones
Pile O’ Bones was the original name of Regina, Saskatchewan, reflecting its origins as a settlement near large piles of bison bones on the Canadian prairie.
- 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_69e24584f9488190bb32730bd2ce023e |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a64939e4819085862e7482e14879 |
completed | April 29, 2026, 6:33 a.m. |
Created at: April 17, 2026, 5:51 p.m.