Triple
T22652202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Wood Demon |
E559122
|
entity |
| Predicate | originalTitle |
P65
|
FINISHED |
| Object | Леший |
—
|
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: Леший | Statement: [The Wood Demon, originalTitle, Леший]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Леший Context triple: [The Wood Demon, originalTitle, Леший]
-
A.
Leshy
chosen
Leshy is a forest-dwelling spirit from Slavic mythology, often depicted as a shape-shifting guardian of the woods who can lead travelers astray.
-
B.
Chernomor
Chernomor is a villainous sorcerer with a long magical beard who abducts the heroine in Alexander Pushkin’s narrative poem "Ruslan and Ludmila."
-
C.
Vikhvatinets
Vikhvatinets is a small settlement in present-day Moldova historically notable as the birthplace of the Russian pianist and composer Anton Rubinstein.
-
D.
Vodyanoy
Vodyanoy is a malevolent water spirit from Slavic folklore, often depicted as an old, frog-like man who drowns people and guards rivers, ponds, and mills.
-
E.
Czernobog
Czernobog is a grim Slavic god of darkness and misfortune who appears in Neil Gaiman’s *American Gods* as a gruff, hammer-wielding former deity struggling to adapt to modern America.
- 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_69e245489dd88190b1f674acf61c8769 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1703d7d648190aafe275cd04c47cf |
completed | April 29, 2026, 2:43 a.m. |
Created at: April 17, 2026, 3:06 p.m.