Triple
T18400797
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rusalka (character) |
E449986
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Rusalka |
—
|
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: Rusalka | Statement: [Rusalka (character), name, Rusalka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rusalka Context triple: [Rusalka (character), name, Rusalka]
-
A.
Rusalka
chosen
Rusalka is the water nymph title character of Antonín Dvořák’s opera, best known for her tragic love story and the famous aria “Song to the Moon.”
-
B.
Iolanta
Iolanta is a one-act lyric opera by Pyotr Ilyich Tchaikovsky that tells the story of a blind princess who discovers sight and love.
-
C.
Ondine
Ondine was a prominent American actor and Warhol superstar known for his eccentric performances in Andy Warhol’s underground films of the 1960s.
-
D.
Ondine
Ondine is a character from the "Tar Baby" narrative, often associated with themes of entrapment and trickery rooted in African American folklore.
-
E.
Ondine
Ondine is a 19th-century romantic ballet, often associated with water nymph mythology, composed by Cesare Pugni and known for its lyrical, atmospheric score and choreography.
- 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e5194f2a8c8190afcd7db23e3795fb |
completed | April 19, 2026, 6:05 p.m. |
Created at: April 10, 2026, 10:46 a.m.