Triple
T21596851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ralph Sneyd |
E532922
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Sneyd |
—
|
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: Sneyd | Statement: [Ralph Sneyd, familyName, Sneyd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sneyd Context triple: [Ralph Sneyd, familyName, Sneyd]
-
A.
Sneyd
chosen
Sneyd is an English surname historically associated with several notable families and individuals in Britain.
-
B.
Yockenthwaite
Yockenthwaite is a small hamlet in the Yorkshire Dales, England, known for its traditional stone buildings and scenic rural surroundings.
-
C.
Forsinard
Forsinard is a small village and railway station in the Scottish Highlands, known as a gateway to the surrounding Flow Country peatland wilderness.
-
D.
Gleniffer
Gleniffer is a small rural locality in New South Wales, Australia, known for its scenic countryside, rivers, and proximity to the town of Bellingen.
-
E.
Fraser Rigg
Fraser Rigg is a film and television producer known for his work on the Australian crime drama "Calibre."
- 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_69e0c46364608190a337dc8720dc2a35 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eefae20c8881909c5354313d06183a |
completed | April 27, 2026, 5:57 a.m. |
Created at: April 16, 2026, 6:32 p.m.