Triple
T9243241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pavel Durov |
E222116
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Telegram Messenger |
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 Messenger | Statement: [Pavel Durov, employer, Telegram Messenger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Telegram Messenger Context triple: [Pavel Durov, employer, Telegram Messenger]
-
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.
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.
-
C.
Messenger
Messenger is Symfony’s message bus and asynchronous processing component that enables handling commands, events, and queued messages in a decoupled way.
-
D.
Messenger
Messenger was a prominent American Standardbred racehorse celebrated for his significant influence on the development of the modern harness racing breed.
-
E.
Messenger
Messenger is Meta's cross-platform messaging application that enables users to send text, voice, and video communications across mobile and web.
- 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_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_69d0b1d046ac81908deffb4215bbeb82 |
completed | April 4, 2026, 6:38 a.m. |
Created at: March 30, 2026, 7:30 p.m.