Triple
T14443384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nikolai Durov |
E358141
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Telegram |
E72084
|
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: Telegram | Statement: [Nikolai Durov, knownFor, Telegram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Telegram Context triple: [Nikolai Durov, knownFor, Telegram]
-
A.
Telegram
chosen
Telegram is a cloud-based instant messaging service known for its speed, security features, and support for large group chats and channels across multiple platforms.
-
B.
Telegram Sam
"Telegram Sam" is a 1972 glam rock song by the British band T. Rex, written and performed by Marc Bolan and known for its catchy riff and chart success.
-
C.
Viber
Viber is a cross-platform messaging and Voice over IP (VoIP) application that allows users to send messages, make voice and video calls, and share media over the internet.
-
D.
Google Chat
Google Chat is a business-focused messaging platform by Google that supports direct messages, group conversations, and integrated collaboration within the Google Workspace ecosystem.
-
E.
Facebook Chat
Facebook Chat is the instant messaging feature of the Facebook platform that allows users to send real-time text messages and multimedia to their Facebook contacts.
- 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_69fd8aa904c08190b33796b832aa100f |
completed | May 8, 2026, 7:03 a.m. |
Created at: April 10, 2026, 1:19 a.m.