Triple
T21681432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Шинель |
E535116
|
entity |
| Predicate | influenceOn |
P1994
|
FINISHED |
| Object | Антон Павлович Чехов |
—
|
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: Антон Павлович Чехов | Statement: [Шинель, influenceOn, Антон Павлович Чехов]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Антон Павлович Чехов Context triple: [Шинель, influenceOn, Антон Павлович Чехов]
-
A.
Михаил Александрович Чехов
Михаил Александрович Чехов был выдающимся русским актёром, режиссёром, театральным педагогом и теоретиком, создавшим влиятельную актёрскую технику, широко применяемую в мировом театре и кино.
-
B.
Anton Chekhov
chosen
Anton Chekhov was a Russian playwright and short-story writer renowned for his innovative, psychologically nuanced works that helped shape modern drama and prose.
-
C.
Chekhov
Chekhov is a town in Moscow Oblast, Russia, named after the writer Anton Chekhov and known for its historical and cultural significance.
-
D.
A. A. Samoylov
A. A. Samoylov was a mountaineer known for making the first recorded ascent of Mount Narodnaya, the highest peak in the Ural Mountains.
-
E.
Rafail Ostrovsky
Rafail Ostrovsky is a prominent computer scientist known for his influential contributions to cryptography, secure computation, and theoretical computer science.
- 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_69e0c469b6ec8190aee4cadd1527db91 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef96c69990819088a1134ecea09099 |
completed | April 27, 2026, 5:03 p.m. |
Created at: April 16, 2026, 6:43 p.m.