Triple
T21596837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sneyd |
E532922
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Sneyde |
—
|
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: Sneyde | Statement: [Sneyd, hasVariant, Sneyde]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sneyde Context triple: [Sneyd, hasVariant, Sneyde]
-
A.
Sneyd
chosen
Sneyd is an English surname historically associated with several notable families and individuals in Britain.
-
B.
Taff-Ely
Taff-Ely was a former local government district in Mid Glamorgan, Wales, centered on the valleys of the River Taff and River Ely and including towns such as Pontypridd.
-
C.
Villevere
Villevere is a small village located in Järva County in central Estonia.
-
D.
Agravayne
Agravayne is a knight of the Round Table in Arthurian legend, often depicted as one of King Arthur’s nephews and noted for his treacherous and antagonistic role in the stories.
-
E.
Nelwyn
Nelwyn are a fictional, diminutive humanoid race from the fantasy film "Willow," known for their rural village life and practice of magic.
- 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.