Triple
T17306607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vladimir Makarov |
E420179
|
entity |
| Predicate | voiceActor |
P1507
|
FINISHED |
| Object |
Roman Varshavsky
Roman Varshavsky is a voice actor best known for portraying the Call of Duty antagonist Vladimir Makarov.
|
E1283193
|
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: Roman Varshavsky | Statement: [Vladimir Makarov, voiceActor, Roman Varshavsky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roman Varshavsky Context triple: [Vladimir Makarov, voiceActor, Roman Varshavsky]
-
A.
Vladimir Volodarsky
Vladimir Volodarsky was a prominent Bolshevik revolutionary and Soviet political figure active during the early years of the Russian Revolution.
-
B.
Yakov Belopolsky
Yakov Belopolsky was a Soviet architect known for designing major war memorials and monumental public works in the USSR.
-
C.
Yuri Levitansky
Yuri Levitansky was a prominent Soviet and Russian poet known for his introspective, philosophical verse and his nuanced reflections on war and the human condition.
-
D.
Rostislav Goldstein
Rostislav Goldstein is a Russian politician who serves as the governor of the Jewish Autonomous Oblast in Russia’s Far East.
-
E.
Lev Shlosberg
Lev Shlosberg is a Russian liberal politician, journalist, and human rights advocate known for his opposition to the Kremlin and his work within the Yabloko party.
- 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: Roman Varshavsky Triple: [Vladimir Makarov, voiceActor, Roman Varshavsky]
Generated description
Roman Varshavsky is a voice actor best known for portraying the Call of Duty antagonist Vladimir Makarov.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Roman Varshavsky Target entity description: Roman Varshavsky is a voice actor best known for portraying the Call of Duty antagonist Vladimir Makarov.
-
A.
Vladimir Volodarsky
Vladimir Volodarsky was a prominent Bolshevik revolutionary and Soviet political figure active during the early years of the Russian Revolution.
-
B.
Yakov Belopolsky
Yakov Belopolsky was a Soviet architect known for designing major war memorials and monumental public works in the USSR.
-
C.
Yuri Levitansky
Yuri Levitansky was a prominent Soviet and Russian poet known for his introspective, philosophical verse and his nuanced reflections on war and the human condition.
-
D.
Rostislav Goldstein
Rostislav Goldstein is a Russian politician who serves as the governor of the Jewish Autonomous Oblast in Russia’s Far East.
-
E.
Lev Shlosberg
Lev Shlosberg is a Russian liberal politician, journalist, and human rights advocate known for his opposition to the Kremlin and his work within the Yabloko party.
- 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e438ff3ee08190ab4c44a22f86b38b |
completed | April 19, 2026, 2:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a02230dd4a4819086abd8ef3859fe15 |
completed | May 11, 2026, 6:42 p.m. |
| NEDg | Description generation | batch_6a022c7dc2d48190b0e49b796196d7f4 |
completed | May 11, 2026, 7:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a022cce8cfc8190a68a976b4611b234 |
completed | May 11, 2026, 7:23 p.m. |
Created at: April 10, 2026, 5:43 a.m.