Triple
T6516481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Williamson |
E148276
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Williamson |
E32984
|
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: Williamson | Statement: [Richard Williamson, familyName, Williamson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Williamson Context triple: [Richard Williamson, familyName, Williamson]
-
A.
Williamson
chosen
Williamson is a surname of English and Scottish origin, traditionally meaning "son of William."
-
B.
Williamson
Williamson is a small city in southern West Virginia known historically as a coal-mining community and commercial hub in the Tug Fork River valley.
-
C.
Hardin
Hardin is the surname of Lil Hardin Armstrong, a pioneering jazz pianist, composer, and bandleader who was a key figure in early jazz and Louis Armstrong’s second wife.
-
D.
Brewster
Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
-
E.
Brewster
Brewster is an English occupational surname historically associated with brewing ale or beer.
- 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_69c687e68e748190baceb9298f32d3ed |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6ac0ece2081909c14accef90efd7c |
completed | March 27, 2026, 4:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d5156e848190a6616497708d421c |
completed | March 27, 2026, 7:05 p.m. |
Created at: March 27, 2026, 1:44 p.m.