Triple
T4984826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valerian Street |
E111974
|
entity |
| Predicate | employs |
P7
|
FINISHED |
| Object | Ondine |
E188465
|
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: [Valerian Street, employs, Ondine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ondine Context triple: [Valerian Street, employs, Ondine]
-
A.
Ondine
chosen
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
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.
Lenore
Lenore is a small unincorporated rural community located in Nez Perce County in north-central Idaho, United States.
- 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_69bd441adc208190b70a033a0741d01e |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd725766d88190b6fda860a005ce4e |
completed | March 20, 2026, 4:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be8a1891c48190b85bec5e97f75e44 |
completed | March 21, 2026, 12:07 p.m. |
Created at: March 20, 2026, 1:33 p.m.