Triple
T8537839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Martin Garrix |
E202121
|
entity |
| Predicate | stageName |
P7872
|
FINISHED |
| Object | Martin Garrix |
E202121
|
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: Martin Garrix | Statement: [Martin Garrix, stageName, Martin Garrix]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martin Garrix Context triple: [Martin Garrix, stageName, Martin Garrix]
-
A.
Martin Garrix
chosen
Martin Garrix is a Dutch DJ and electronic music producer known for global EDM hits like "Animals" and for headlining major festivals worldwide.
-
B.
Remy van Buuren
Remy van Buuren is one of the children of Dutch trance DJ and record producer Armin van Buuren.
-
C.
Hardwell
Hardwell is a Dutch DJ and electronic music producer known for his big-room house tracks, high-energy festival performances, and former status as one of the world’s top-ranked DJs.
-
D.
Armin van Buuren
Armin van Buuren is a Dutch DJ, record producer, and radio show host widely recognized as one of the leading figures in trance and electronic dance music.
-
E.
Avicii
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."
- 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_69ca832355b08190b8b6a4ab4a4a3554 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6a5c2848190836c612597de83b7 |
completed | March 31, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebb71c81881909e7b9e84d2601949 |
completed | April 2, 2026, 6:54 p.m. |
Created at: March 30, 2026, 6:18 p.m.