Triple
T10911673
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mr. Bingley |
E257715
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Charles Bingley |
E257715
|
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: Charles Bingley | Statement: [Mr. Bingley, fullName, Charles Bingley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charles Bingley Context triple: [Mr. Bingley, fullName, Charles Bingley]
-
A.
Mr. Bingley
chosen
Mr. Bingley is a wealthy, amiable gentleman and close friend of Mr. Darcy who becomes Jane Bennet’s love interest in Jane Austen’s novel "Pride and Prejudice."
-
B.
Baron Bingley
Baron Bingley is a hereditary title in the Peerage of the United Kingdom historically associated with the Lane-Fox family and the Yorkshire gentry.
-
C.
Bingley
Bingley is a historic market town in West Yorkshire, England, known for its industrial heritage and scenic waterways.
-
D.
Mr. Collins
Mr. Collins is a pompous, obsequious clergyman and comic figure in Jane Austen's novel "Pride and Prejudice."
-
E.
Mr Bennet
Mr Bennet is the witty, detached patriarch of the Bennet family in Jane Austen’s novel "Pride and Prejudice."
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770723df08190bedfdc94d998f969 |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e155550e388190bd441ac3a9dde435 |
completed | April 16, 2026, 9:32 p.m. |
Created at: April 8, 2026, 9:22 p.m.