Triple
T20830678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Water Goblin, Op. 107 |
E512817
|
entity |
| Predicate | originalLanguageTitle |
P13516
|
FINISHED |
| Object | Vodník |
—
|
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: Vodník | Statement: [The Water Goblin, Op. 107, originalLanguageTitle, Vodník]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vodník Context triple: [The Water Goblin, Op. 107, originalLanguageTitle, Vodník]
-
A.
Vodník
chosen
Vodník is a male water spirit from Slavic folklore, often depicted as a sinister, frog-like old man who dwells in ponds and rivers and lures or drowns humans.
-
B.
Vikhvatinets
Vikhvatinets is a small settlement in present-day Moldova historically notable as the birthplace of the Russian pianist and composer Anton Rubinstein.
-
C.
Mastník
Mastník is a river in the Central Bohemian Region of the Czech Republic that flows through the town of Sedlčany.
-
D.
Vrútky
Vrútky is a town in northern Slovakia that serves as an important railway junction and gateway between central and northern regions of the country.
-
E.
Pomorie
Pomorie is a Bulgarian Black Sea coastal town and resort known for its salt production, mud therapy, and historic monastery.
- 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_69e0b4ce39108190a6e8e5df4f1c8dc5 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c32177188190ad67572cb3b5db74 |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:42 p.m.