Triple
T18741547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nightnoise |
E458302
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Yanni |
—
|
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: Yanni | Statement: [Nightnoise, hasMember, Yanni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yanni Context triple: [Nightnoise, hasMember, Yanni]
-
A.
Yanni
chosen
Yanni is a Greek composer and keyboardist known for his contemporary instrumental and new-age music, as well as his globally televised live performances at historic venues.
-
B.
André Rieu
André Rieu is a Dutch violinist and conductor best known for popularizing classical and waltz music worldwide with his Johann Strauss Orchestra.
-
C.
Ludovico Einaudi
Ludovico Einaudi is an Italian pianist and composer renowned for his minimalist, emotionally evocative contemporary classical music widely used in film and television.
-
D.
Enya
Enya is an Irish singer, songwriter, and musician renowned for her ethereal, multi-layered vocal style and atmospheric new-age music that has achieved worldwide commercial success.
-
E.
Ado Kyrou
Ado Kyrou was a Greek-born French filmmaker, writer, and critic closely associated with the Surrealist movement in mid-20th-century Paris.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5768ecc2081908143310190ffb460 |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 10, 2026, 11:51 a.m.