Triple
T5327855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antonín Dvořák |
E123227
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Rusalka |
E487515
|
NE FINISHED |
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: [Antonín Dvořák, notableWork, Rusalka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rusalka Context triple: [Antonín Dvořák, notableWork, 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 Finnish classical music record label renowned for high-quality recordings of Nordic and contemporary repertoire.
-
E.
Ondine
Ondine is a character from the "Tar Baby" narrative, often associated with themes of entrapment and trickery rooted in African American folklore.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd46477f9081909d242a327d749466 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85926c388190a495835caf927624 |
completed | March 20, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf18b00f9c8190b3882f6112546b4a |
completed | March 21, 2026, 10:16 p.m. |
Created at: March 20, 2026, 2 p.m.