Triple
T13420659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ytilaer |
E313339
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Son Lux |
E404213
|
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: Son Lux | Statement: [Ytilaer, producer, Son Lux]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Son Lux Context triple: [Ytilaer, producer, Son Lux]
-
A.
Son Lux
chosen
Son Lux is an experimental music group known for its genre-blending, cinematic soundscapes and innovative film scoring.
-
B.
Flying Lotus
Flying Lotus is an experimental electronic music producer and DJ known for his innovative fusion of hip hop, jazz, and abstract beats, and for founding the Brainfeeder label.
-
C.
Autolux
Autolux is an American alternative rock band known for its experimental, noise-infused sound and dynamic live performances.
-
D.
Dorian Electra
Dorian Electra is an American singer, songwriter, and performance artist known for their experimental hyperpop sound and explorations of gender and identity.
-
E.
Miike Snow
Miike Snow is a Swedish indie pop band known for its catchy, genre-blending electronic sound and hits like "Animal" and "Genghis Khan."
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb98e808190948013e8f24779c6 |
completed | April 12, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7308493e481909da52f8bbcc0bd6b |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:39 p.m.