Triple
T17048576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferry Corsten |
E413633
|
entity |
| Predicate | notableCollaboration |
P8554
|
FINISHED |
| Object | Markus Schulz |
—
|
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: Markus Schulz | Statement: [Ferry Corsten, notableCollaboration, Markus Schulz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Markus Schulz Context triple: [Ferry Corsten, notableCollaboration, Markus Schulz]
-
A.
Markus Schulz
chosen
Markus Schulz is a German-American DJ and producer renowned for his melodic trance sound and as the founder of the Coldharbour Recordings label.
-
B.
Tiësto
Tiësto is a Dutch DJ and record producer widely regarded as one of the most influential figures in electronic dance music.
-
C.
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.
-
D.
Andrew Rayel
Andrew Rayel is a Moldovan trance music producer and DJ known for his melodic, orchestral-influenced sound and releases on major electronic labels.
-
E.
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.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3daa092f08190a9e37404a9de662c |
completed | April 18, 2026, 7:25 p.m. |
Created at: April 10, 2026, 5:34 a.m.