Triple
T9243211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pavel Durov |
E222116
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Durov
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.
|
E786848
|
NE FINISHED |
How this triple was built (4 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: [Pavel Durov, familyName, Durov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Durov Context triple: [Pavel Durov, familyName, Durov]
-
A.
Lugos
Lugos is a town in present-day Romania, historically part of the Austro-Hungarian Empire, known as the birthplace of actor Bela Lugosi.
-
B.
Gori
Gori is a city in central Georgia best known as the birthplace of Soviet leader Joseph Stalin.
-
C.
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.
-
D.
Lesches
Lesches is a small French commune located in the Seine-et-Marne department in the Île-de-France region, near Paris.
-
E.
Gsell
Gsell is a surname of Germanic origin borne by various notable individuals, including artists, scholars, and public figures.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Durov Triple: [Pavel Durov, familyName, Durov]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Durov Target entity description: 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.
-
A.
Lugos
Lugos is a town in present-day Romania, historically part of the Austro-Hungarian Empire, known as the birthplace of actor Bela Lugosi.
-
B.
Gori
Gori is a city in central Georgia best known as the birthplace of Soviet leader Joseph Stalin.
-
C.
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.
-
D.
Lesches
Lesches is a small French commune located in the Seine-et-Marne department in the Île-de-France region, near Paris.
-
E.
Gsell
Gsell is a surname of Germanic origin borne by various notable individuals, including artists, scholars, and public figures.
- F. None of above. chosen
Provenance (5 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_69ca83ee26cc81909ac624e190597d6d |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cd03ec23ec8190993003a826372d40 |
completed | April 1, 2026, 11:39 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d077e977c48190ba46a48850a3da0a |
completed | April 4, 2026, 2:31 a.m. |
| NEDg | Description generation | batch_69d07c3d6c1881908b267c2947b360d6 |
completed | April 4, 2026, 2:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d07ca8bad48190a0d36c6deb96610f |
completed | April 4, 2026, 2:51 a.m. |
Created at: March 30, 2026, 7:30 p.m.