Triple
T19105656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muratov |
E467646
|
entity |
| Predicate | hasVariantTransliteration |
P5923
|
FINISHED |
| Object | Mouratov |
—
|
NE NERFINISHED |
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: Mouratov | Statement: [Muratov, hasVariantTransliteration, Mouratov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mouratov Context triple: [Muratov, hasVariantTransliteration, Mouratov]
-
A.
Muratov
chosen
Muratov is a Russian surname most prominently associated with Dmitry Muratov, the Nobel Peace Prize–winning journalist and editor-in-chief of the independent newspaper Novaya Gazeta.
-
B.
Milyutin
Milyutin is a Russian surname most notably associated with Dmitry Milyutin, the 19th-century Imperial Russian war minister and military reformer.
-
C.
Mihaylovski
Mihaylovski is a Bulgarian surname, notably borne by the 19th-century cleric and national revival figure Ilarion Makariopolski.
-
D.
Sulimov
Sulimov was the former name of the city now known as Cherkessk, the capital of Karachay-Cherkessia in southwestern Russia.
-
E.
Semyonov
Semyonov is a common Russian surname borne by numerous notable figures in fields such as literature, science, and military history.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 10, 2026, 12:04 p.m.