Triple
T8624389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vasili Shukshin |
E204247
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Shukshin |
E204247
|
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: Shukshin | Statement: [Vasili Shukshin, familyName, Shukshin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shukshin Context triple: [Vasili Shukshin, familyName, Shukshin]
-
A.
Vasili Shukshin
chosen
Vasili Shukshin was a Soviet Russian writer, film director, and actor known for his poignant portrayals of rural life and ordinary people.
-
B.
Venedikt Erofeev
Venedikt Erofeev was a Russian writer and satirist best known for his cult prose poem "Moscow-Petushki," a darkly comic, philosophical account of a drunken train journey.
-
C.
Mikhail Zoshchenko
Mikhail Zoshchenko was a Soviet satirical writer known for his humorous, colloquial short stories that sharply critiqued everyday life under early Soviet rule.
-
D.
Zakhar Moglin
Zakhar Moglin was the husband of Zinaida Volkova, the daughter of Russian revolutionary Leon Trotsky.
-
E.
Rozhdestvensky
Rozhdestvensky is a Russian surname most notably associated with figures such as conductor Gennady Rozhdestvensky.
- 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_69ca834a4ea0819094970dceb9e389f3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4728360c8190b5e600596cbced0c |
completed | March 31, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecc9abd1081909d45af7498ec7c34 |
completed | April 2, 2026, 8:07 p.m. |
Created at: March 30, 2026, 6:26 p.m.