Triple
T14210885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bigham |
E352226
|
entity |
| Predicate | spellingVariantOf |
P457
|
FINISHED |
| Object | Bingham |
E271166
|
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: Bingham | Statement: [Bigham, spellingVariantOf, Bingham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bingham Context triple: [Bigham, spellingVariantOf, Bingham]
-
A.
Bingham
chosen
Bingham is a surname most notably associated with the 19th-century American painter George Caleb Bingham.
-
B.
Bingham
Bingham is a small market town in Nottinghamshire, England, known for its historic center and role as a local commercial and residential hub.
-
C.
Bingham
Bingham is a residential suburb in the east of Edinburgh, Scotland, known for its post-war housing and proximity to major transport routes.
-
D.
Ellnora
Ellnora is a feminine given name most notably borne by American philanthropist Ellnora Decker Krannert, a major benefactor of arts and education.
-
E.
Pangborn
Pangborn is a surname most notably associated with American character actor Franklin Pangborn, known for his comedic roles in early 20th-century films.
- 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_69d8278a06e481908b5d6af0a8afe737 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de620dba0c8190bb77a1df10e1d3a7 |
completed | April 14, 2026, 3:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd19574280819091bafd95a75983bf |
completed | May 7, 2026, 10:59 p.m. |
Created at: April 10, 2026, 1:05 a.m.