Triple
T21306865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vasilisa Yegorovna Mironova |
E525219
|
entity |
| Predicate | relatedCharacter |
P37304
|
FINISHED |
| Object | Shvabrin |
—
|
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: Shvabrin | Statement: [Vasilisa Yegorovna Mironova, relatedCharacter, Shvabrin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shvabrin Context triple: [Vasilisa Yegorovna Mironova, relatedCharacter, Shvabrin]
-
A.
Shvabrin
chosen
Shvabrin is a key character in Alexander Pushkin's historical novel "The Captain's Daughter," known for his duplicitous and antagonistic role in the story.
-
B.
Grishnákh
Grishnákh is a vicious Orc of Mordor in J.R.R. Tolkien's "The Lord of the Rings," known for his cruelty and role in the capture of Merry and Pippin.
-
C.
Bavmorda
Bavmorda is the primary villain and powerful sorceress queen in the fantasy film "Willow."
-
D.
Grishk
Grishk is a town in southern Afghanistan’s Helmand Province, strategically located along major transport routes and near the Helmand River.
-
E.
Vrakuňa
Vrakuňa is a borough of Bratislava, Slovakia, located in the eastern part of the city.
- 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_69e0b518b8948190ad69cf9a8784d397 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e75aa69b40819081e74c042e7cd105 |
completed | April 21, 2026, 11:08 a.m. |
Created at: April 16, 2026, 4:05 p.m.