Triple
T6785433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilkens |
E155789
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Wilkins |
E116521
|
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: Wilkins | Statement: [Wilkens, hasVariant, Wilkins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wilkins Context triple: [Wilkens, hasVariant, Wilkins]
-
A.
Wilkins
chosen
Wilkins is a surname most notably associated with Roy Wilkins, a prominent American civil rights leader and longtime NAACP executive director.
-
B.
William Wilkins
William Wilkins was a prominent early 19th-century British architect best known for his neoclassical designs, including major public buildings and educational institutions.
-
C.
Wilkinson
Wilkinson is an English surname, originally a patronymic meaning "son of Wilkin," that has been borne by various notable figures and brands.
-
D.
Beadle Bamford
Beadle Bamford is a corrupt and obsequious public official who serves as Judge Turpin’s ruthless enforcer in the musical *Sweeney Todd: The Demon Barber of Fleet Street*.
-
E.
Whittaker
Whittaker is a surname of English and Scottish origin borne by various notable individuals across fields such as science, sports, and the arts.
- 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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d28de0348190998751fd546bfd02 |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a84c0c48190be87bff2da4e69a1 |
completed | March 28, 2026, 12:02 a.m. |
Created at: March 27, 2026, 2:14 p.m.