Triple
T9679282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Sky Full of Stars |
E234240
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Avicii |
E414391
|
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: Avicii | Statement: [A Sky Full of Stars, producer, Avicii]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avicii Context triple: [A Sky Full of Stars, producer, Avicii]
-
A.
Avicii
chosen
Avicii was a Swedish DJ, remixer, and record producer who became one of the leading figures in electronic dance music with global hits like "Levels" and "Wake Me Up."
-
B.
Eric Prydz
Eric Prydz is a Swedish DJ and producer renowned for his progressive house anthems like "Call on Me" and "Opus" and his innovative, visually immersive live shows.
-
C.
Martin Garrix
Martin Garrix is a Dutch DJ and electronic music producer known for global EDM hits like "Animals" and for headlining major festivals worldwide.
-
D.
Tiësto
Tiësto is a Dutch DJ and record producer widely regarded as one of the most influential figures in electronic dance music.
-
E.
Remy van Buuren
Remy van Buuren is one of the children of Dutch trance DJ and record producer Armin van Buuren.
- 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_69ca84c99e34819092e5563a7106cfca |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9c9c586c8190abc0ab1771bf6c5c |
completed | April 1, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1af759b8081909cfa41fc32196623 |
completed | April 5, 2026, 12:40 a.m. |
Created at: March 30, 2026, 8:16 p.m.