Triple
T22095984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basset |
E546033
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Bassett |
—
|
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: Bassett | Statement: [Basset, hasVariant, Bassett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bassett Context triple: [Basset, hasVariant, Bassett]
-
A.
Bassett
chosen
Bassett is the surname of acclaimed American actress and director Angela Bassett, known for her powerful performances in film and television.
-
B.
Bassett
Bassett is the young gardener and betting partner in D. H. Lawrence’s short story “The Rocking-Horse Winner,” who helps the protagonist place successful horse-race wagers.
-
C.
Bassett's
Bassett's is a historic British confectionery brand best known for its liquorice allsorts and other traditional sweets.
-
D.
Basset
Basset is a surname and term most commonly associated with the Basset Hound dog breed and with various historical families and individuals bearing that name.
-
E.
Shepshed
Shepshed is a town in the English East Midlands known historically for its textile industry and now as a residential community near Loughborough in Leicestershire.
- 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e8f1f48190a5f1d9e96a6de688 |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:30 p.m.