Triple
T10161361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Wilkes |
E233898
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Wilkes |
E241217
|
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: Wilkes | Statement: [Charles Wilkes, familyName, Wilkes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wilkes Context triple: [Charles Wilkes, familyName, Wilkes]
-
A.
Wilkes
chosen
Wilkes is a surname of English origin borne by various notable individuals across politics, the arts, and public life.
-
B.
Maury
Maury is a masculine given name, typically used as a familiar or informal form of the name Maurice.
-
C.
Yancey
Yancey is the surname of Jay Dee (J Dilla), the influential Detroit hip-hop producer and rapper.
-
D.
Cabell
Cabell is a surname of English origin borne by various notable individuals, including American politician Earle Cabell.
-
E.
Bulloch
Bulloch is a Scottish-origin surname borne by various notable individuals, including figures in American political and military history.
- 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_69ca848e80748190b91d1e04d35512c7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdec59b01081908be6ca37dc575465 |
completed | April 2, 2026, 4:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d300c2651c8190a80c933002ac62e8 |
completed | April 6, 2026, 12:39 a.m. |
Created at: March 30, 2026, 9:09 p.m.