Triple
T12415137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Cabell Breckinridge Sr. |
E296616
|
entity |
| Predicate | middleName |
P143
|
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: [Joseph Cabell Breckinridge Sr., middleName, Cabell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cabell Context triple: [Joseph Cabell Breckinridge Sr., middleName, Cabell]
-
A.
Cabell
chosen
Cabell is a surname of English origin borne by various notable individuals, including American politician Earle Cabell.
-
B.
Yancey
Yancey is the surname of Jay Dee (J Dilla), the influential Detroit hip-hop producer and rapper.
-
C.
Melancton
Melancton is a masculine given name most notably borne by Melancton Smith, an American lawyer and prominent Anti-Federalist politician of the late 18th century.
-
D.
Wilkes
Wilkes is a surname of English origin borne by various notable individuals across politics, the arts, and public life.
-
E.
Colemore
Colemore is a small rural village and civil parish in East Hampshire, England, known for its historic church and agricultural surroundings.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d6c4f6c8190bc99d3f7b64205c3 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f634915940819092665f1f35aa823d |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:55 p.m.