Triple
T10349681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Prevost |
E243846
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Prevost |
E679304
|
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: Prevost | Statement: [George Prevost, familyName, Prevost]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prevost Context triple: [George Prevost, familyName, Prevost]
-
A.
Prevost
chosen
Prevost is a surname of French origin borne by various notable individuals across history, including figures in politics, the military, the arts, and early American society.
-
B.
Souvestre
Souvestre is a French surname notably borne by educator Marie Souvestre, known for her progressive influence on women’s education in the 19th century.
-
C.
Regardie
Regardie is the surname of Israel Regardie, a prominent 20th-century occultist and author associated with the Hermetic Order of the Golden Dawn.
-
D.
Cunlhat
Cunlhat is a small rural commune in central France’s Puy-de-Dôme department, known for its traditional Auvergne countryside setting.
-
E.
Marquis of Moya
The Marquis of Moya is a hereditary Spanish noble title historically associated with influential aristocratic families such as the Fernández Pacheco lineage.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e946cbb881909b88536d0107995d |
completed | April 7, 2026, 11:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7508e325c8190a88c2b972f8a6846 |
completed | April 9, 2026, 7:09 a.m. |
Created at: April 6, 2026, 11:57 a.m.