Triple
T11172322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viking (film) |
E264304
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Andrey Smolyakov
Andrey Smolyakov is a Russian film and theater actor known for his extensive work in Soviet and post-Soviet cinema and television.
|
E1189347
|
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: Andrey Smolyakov | Statement: [Viking (film), castMember, Andrey Smolyakov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrey Smolyakov Context triple: [Viking (film), castMember, Andrey Smolyakov]
-
A.
Sergey Sokolov
Sergey Sokolov was a Soviet military leader and Marshal of the Soviet Union who served as the USSR’s Minister of Defense during the 1980s.
-
B.
Sergei Smirnov
Sergei Smirnov is a Russian mathematician known for his contributions to probability theory and mathematical physics.
-
C.
Andreyan Zakharov
Andreyan Zakharov was a prominent Russian neoclassical architect of the early 19th century, best known for shaping the monumental imperial style of St. Petersburg.
-
D.
Andrei Nikolishin
Andrei Nikolishin is a former Russian professional ice hockey center who played in the NHL and internationally for the Russian national team.
-
E.
Andrei Voronkov
Andrei Voronkov is a computer scientist known for his influential work in automated reasoning and theorem proving.
- 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: Andrey Smolyakov Triple: [Viking (film), castMember, Andrey Smolyakov]
Generated description
Andrey Smolyakov is a Russian film and theater actor known for his extensive work in Soviet and post-Soviet cinema and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andrey Smolyakov Target entity description: Andrey Smolyakov is a Russian film and theater actor known for his extensive work in Soviet and post-Soviet cinema and television.
-
A.
Sergey Sokolov
Sergey Sokolov was a Soviet military leader and Marshal of the Soviet Union who served as the USSR’s Minister of Defense during the 1980s.
-
B.
Sergei Smirnov
Sergei Smirnov is a Russian mathematician known for his contributions to probability theory and mathematical physics.
-
C.
Andreyan Zakharov
Andreyan Zakharov was a prominent Russian neoclassical architect of the early 19th century, best known for shaping the monumental imperial style of St. Petersburg.
-
D.
Andrei Nikolishin
Andrei Nikolishin is a former Russian professional ice hockey center who played in the NHL and internationally for the Russian national team.
-
E.
Andrei Voronkov
Andrei Voronkov is a computer scientist known for his influential work in automated reasoning and theorem proving.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e89660208190b1d9e91529f5d246 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf0513f88190b2405ffc32f1e9c7 |
completed | May 10, 2026, 12:19 a.m. |
| NEDg | Description generation | batch_69ffd0bfc05881908d7223c52050ea14 |
completed | May 10, 2026, 12:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffd159dbcc81908ac586a6b8de57cf |
completed | May 10, 2026, 12:29 a.m. |
Created at: April 8, 2026, 9:29 p.m.