Triple
T2214160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Durant |
E50984
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Durand |
E106813
|
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: Durand | Statement: [Durant, hasVariant, Durand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Durand Context triple: [Durant, hasVariant, Durand]
-
A.
Durand
chosen
Durand is a surname most notably associated with Asher B. Durand, a prominent 19th-century American painter and key figure in the Hudson River School.
-
B.
Diffa
Diffa is a city in southeastern Niger that serves as the capital of Diffa Region and a key center for the Kanuri people near the border with Nigeria.
-
C.
Beni-Amer
The Beni-Amer are a pastoralist ethnic group of mixed Beja and Tigre heritage living primarily in eastern Sudan and western Eritrea.
-
D.
Kayes
Kayes is a city in western Mali known as an important regional transport hub and commercial center near the Senegal River.
-
E.
Issel
Issel is a surname most notably associated with Dan Issel, a Hall of Fame American basketball player and coach.
- 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_69a88b06709c8190978fb2418470d1b6 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbfef875c8190b642736b4cc11d4c |
completed | March 7, 2026, 6:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6554f3308190a180cac3ad7e2ce4 |
completed | March 9, 2026, 6:14 a.m. |
Created at: March 4, 2026, 7:46 p.m.