Triple
T8676557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaspard de la nuit |
E205929
|
entity |
| Predicate | movement |
P81
|
FINISHED |
| Object | Ondine |
E163731
|
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: Ondine | Statement: [Gaspard de la nuit, movement, Ondine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ondine Context triple: [Gaspard de la nuit, movement, Ondine]
-
A.
Ondine
Ondine was a prominent American actor and Warhol superstar known for his eccentric performances in Andy Warhol’s underground films of the 1960s.
-
B.
Ondine
Ondine is a Finnish classical music record label renowned for high-quality recordings of Nordic and contemporary repertoire.
-
C.
Ondine
Ondine is a character from the "Tar Baby" narrative, often associated with themes of entrapment and trickery rooted in African American folklore.
-
D.
Ondine
chosen
Ondine is a 1954 Broadway play by Jean Giraudoux, adapted by Maurice Valency, in which Audrey Hepburn gave an acclaimed, Tony-winning performance as a water nymph.
-
E.
Ondine (film)
Ondine is a 2009 romantic fantasy drama film by Neil Jordan about an Irish fisherman who discovers a mysterious woman in his fishing net whom he and his daughter come to believe may be a selkie.
- 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_69ca83529a9c8190b5c075b4f14636ed |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc49f67cdc819092d1ca541c6d22b9 |
completed | March 31, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef3a008d48190bd0e58f615eda148 |
completed | April 2, 2026, 10:54 p.m. |
Created at: March 30, 2026, 6:32 p.m.