Triple
T11647017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walter Bassett Bassett |
E276800
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bassett |
E147950
|
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: Bassett | Statement: [Walter Bassett Bassett, familyName, Bassett]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bassett Context triple: [Walter Bassett Bassett, familyName, 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.
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.
-
C.
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.
-
D.
Cavalier
Cavalier is the costumed mascot character representing the University of Virginia’s athletic teams, typically depicted as a historical Virginia cavalryman.
-
E.
Cavalier
Cavalier was a mid-20th-century American men's magazine known for publishing fiction, including early works by notable authors such as Stephen King.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a2cc8bfc8190a063cc37de9596a9 |
completed | April 10, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee87f903c48190b9055ad4cfebb1e1 |
completed | April 26, 2026, 9:47 p.m. |
Created at: April 8, 2026, 9:39 p.m.