Triple
T2182265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William L. Cabell |
E49070
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Cabell |
E26076
|
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: Cabell | Statement: [William L. Cabell, familyName, Cabell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cabell Context triple: [William L. Cabell, familyName, Cabell]
-
A.
Cabell
chosen
Cabell is a surname of English origin borne by various notable individuals, including American politician Earle Cabell.
-
B.
Maury
Maury is a masculine given name, typically used as a familiar or informal form of the name Maurice.
-
C.
Grayson
Grayson is an unincorporated community located in Stanislaus County, California.
-
D.
Calhoun
Calhoun is a small city in northwest Georgia known for its location along Interstate 75 and its role as a commercial and historical hub of Gordon County.
-
E.
Collier
Collier is a surname most prominently associated in sports with Napheesa Collier, an American professional basketball player and WNBA All-Star.
- 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_69a88aa72d348190a9544bb5b8a4e71d |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf0d551881909d7f907378e1b2b7 |
completed | March 7, 2026, 6 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae5da786e48190896cae8fdcee3d83 |
completed | March 9, 2026, 5:41 a.m. |
Created at: March 4, 2026, 7:45 p.m.