Triple
T7964786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Posner |
E184972
|
entity |
| Predicate | associatedAct |
P37
|
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: [Mike Posner, associatedAct, Avicii]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Avicii Context triple: [Mike Posner, associatedAct, 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.
Remy van Buuren
Remy van Buuren is one of the children of Dutch trance DJ and record producer Armin van Buuren.
-
E.
Paul van Dyk
Paul van Dyk is a German DJ and producer widely regarded as one of the pioneers and leading figures of the trance music genre.
- 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_69ca8293a2388190aace944d7ed9c0c0 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3ba0da588190853dda68bba0755a |
completed | March 31, 2026, 3:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe093f00881909317eb4dd4fa1393 |
completed | March 31, 2026, 2:56 p.m. |
Created at: March 30, 2026, 5:12 p.m.