Triple
T22370116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Чайка |
E553016
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Medvedenko |
—
|
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: Medvedenko | Statement: [Чайка, character, Medvedenko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Medvedenko Context triple: [Чайка, character, Medvedenko]
-
A.
Medvedenko
chosen
Medvedenko is a poor, lovesick schoolteacher in Anton Chekhov’s play "The Seagull," whose unrequited love for Masha highlights the play’s themes of longing and dissatisfaction.
-
B.
Sekulovich
Sekulovich is the original Serbian family surname of American actor Karl Malden, reflecting his ethnic heritage.
-
C.
Vasilevsky
Vasilevsky is a Russian surname most prominently associated with Aleksandr Vasilevsky, a leading Soviet military commander and Marshal of the Soviet Union during World War II.
-
D.
Sokolovsky
Sokolovsky is a Russian surname most notably associated with Soviet military commander Vasily Sokolovsky.
-
E.
Semyonov
Semyonov is a common Russian surname borne by numerous notable figures in fields such as literature, science, and military history.
- 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_69e11e4affcc8190ba7c27d29062558d |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158032b748190ad36c7e3809304e9 |
completed | April 29, 2026, 12:59 a.m. |
Created at: April 16, 2026, 8:44 p.m.