Triple
T10285572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilkes |
E241217
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | John Wilkes |
E107833
|
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: John Wilkes | Statement: [Wilkes, hasNotableBearer, John Wilkes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Wilkes Context triple: [Wilkes, hasNotableBearer, John Wilkes]
-
A.
John Wilkes
chosen
John Wilkes was an 18th-century English radical politician, journalist, and champion of civil liberties who became a symbol of the fight for parliamentary reform.
-
B.
John Rockingham
John Rockingham was an Australian Army officer best known for leading Commonwealth forces with distinction during the Korean War, particularly in the Battle of Kapyong.
-
C.
Thomas Tickell
Thomas Tickell was an early 18th-century English poet and translator associated with Joseph Addison and the Whig literary circle.
-
D.
William Duane
William Duane was an influential early American journalist and editor of the Philadelphia Aurora, known for his staunch support of Jeffersonian Republican politics.
-
E.
James Widdoes
James Widdoes is an American actor, director, and television producer best known for directing and producing numerous sitcoms, including extensive work on series like Two and a Half Men and Mom.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2b737788190bfadd0d48ad38f5b |
completed | April 7, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6f8444c48819095100c6d1d45ccc7 |
completed | April 9, 2026, 12:52 a.m. |
Created at: April 6, 2026, 11:40 a.m.