Triple
T20129898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stiva |
E490860
|
entity |
| Predicate | hasPatronymic |
P7966
|
FINISHED |
| Object | Arkadyevich |
—
|
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: Arkadyevich | Statement: [Stiva, hasPatronymic, Arkadyevich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arkadyevich Context triple: [Stiva, hasPatronymic, Arkadyevich]
-
A.
Arkadyevich
chosen
Arkadyevich is the patronymic of Stepan Arkadyevich Oblonsky, a central socialite and bureaucratic character in Leo Tolstoy’s novel "Anna Karenina."
-
B.
Alekseevich
Alekseevich is a Russian patronymic surname or middle name derived from the given name Aleksey, indicating "son of Aleksey."
-
C.
Arkadi
Arkadi is a masculine given name of Armenian and Slavic origin, commonly used in Eastern Europe and the Caucasus.
-
D.
Alyosha Skvortsov
Alyosha Skvortsov is the young, idealistic Soviet soldier who serves as the central protagonist in the classic 1959 war film "Ballad of a Soldier."
-
E.
Mikhail Averyanitch
Mikhail Averyanitch is a minor but symbolically important character in Anton Chekhov’s novella "Ward No. 6," representing the complacent, bureaucratic mindset of provincial Russian officialdom.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66760b8f08190a66fbb2e9e3925a3 |
completed | April 20, 2026, 5:50 p.m. |
Created at: April 11, 2026, 11:31 p.m.