Triple
T5961717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uncle Vanya |
E132652
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Dyadya Vanya |
E559124
|
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: Dyadya Vanya | Statement: [Uncle Vanya, alsoKnownAs, Dyadya Vanya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dyadya Vanya Context triple: [Uncle Vanya, alsoKnownAs, Dyadya Vanya]
-
A.
Dyadya Vanya
chosen
Dyadya Vanya is the original Russian title of Anton Chekhov’s renowned play "Uncle Vanya," a tragicomic exploration of wasted lives and unfulfilled desires in rural Russia.
-
B.
Alyosha Peshkov
Alyosha Peshkov is the young, semi-autobiographical protagonist of Maxim Gorky’s novel "My Childhood," depicting his harsh upbringing and moral development in late 19th-century Russia.
-
C.
Fyodor
Fyodor is a masculine given name of Russian origin, most famously borne by the novelist Fyodor Dostoevsky.
-
D.
Konstantin Vershinin
Konstantin Vershinin was a prominent Soviet military leader who served as a senior commander of the Soviet Air Forces during and after World War II.
-
E.
Vasily
Vasily is a masculine given name of Slavic origin, commonly used in Russian-speaking countries.
- 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_69c0086c2364819091e9fe2f58fa2517 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c039ff421c819085fc92f0b707d31b |
completed | March 22, 2026, 6:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1083361e08190aaba9e99a856e015 |
completed | March 23, 2026, 9:30 a.m. |
Created at: March 22, 2026, 4:02 p.m.