Triple
T14443374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikolai Durov |
E358141
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Durov |
E786848
|
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: Durov | Statement: [Nikolai Durov, familyName, Durov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Durov Context triple: [Nikolai Durov, familyName, Durov]
-
A.
Durov
chosen
Durov is a Russian surname most prominently associated with Pavel Durov, the entrepreneur and founder of the social networking site VKontakte and the messaging app Telegram.
-
B.
Lugos
Lugos is a town in present-day Romania, historically part of the Austro-Hungarian Empire, known as the birthplace of actor Bela Lugosi.
-
C.
Gori
Gori is a city in central Georgia best known as the birthplace of Soviet leader Joseph Stalin.
-
D.
Goris
Goris is a town in southern Armenia known for its historic stone houses, surrounding cave dwellings, and role as a regional cultural and transportation hub.
-
E.
Lesches
Lesches is a small French commune located in the Seine-et-Marne department in the Île-de-France region, near Paris.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de915d28ec81909e72124e9dd67bfb |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bdd0f388190870ddd01f66d3e99 |
completed | May 8, 2026, 3:43 a.m. |
Created at: April 10, 2026, 1:19 a.m.