Triple
T19105703
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Дмитрий Андреевич Муратов |
E467647
|
entity |
| Predicate | известен за |
P125118
|
FINISHED |
| Object | критическое освещение российской политики |
—
|
LITERAL 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: критическое освещение российской политики | Statement: [Дмитрий Андреевич Муратов, известен за, критическое освещение российской политики]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: известен за Context triple: [Дмитрий Андреевич Муратов, известен за, критическое освещение российской политики]
-
A.
известенС
Indicates that one entity is known or recognized by another entity.
-
B.
известенКак
Indicates that one entity is known or recognized by a particular name, title, or role.
-
C.
известноКак
Indicates that one entity is known or referred to by another name, designation, or alias.
-
D.
познатПо
chosen
Indicates that an entity is known or recognized for a particular quality, achievement, role, or characteristic.
-
E.
knownIn
Indicates that an entity is recognized, acknowledged, or familiar within a particular context, domain, or group.
- F. None of above.
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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e37159688190a6896d9730214ba8 |
completed | April 20, 2026, 8:27 a.m. |
| PD | Predicate disambiguation | batch_69e4b9ac41848190afd0f33b42cebe99 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:04 p.m.