Triple
T17090489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fenna van Buuren |
E414710
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Fenna van Buuren |
E414710
|
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: Fenna van Buuren | Statement: [Fenna van Buuren, name, Fenna van Buuren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fenna van Buuren Context triple: [Fenna van Buuren, name, Fenna van Buuren]
-
A.
Fenna van Buuren
chosen
Fenna van Buuren is the daughter of Dutch DJ and record producer Armin van Buuren.
-
B.
Remy van Buuren
Remy van Buuren is one of the children of Dutch trance DJ and record producer Armin van Buuren.
-
C.
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.
-
D.
Tiësto
Tiësto is a Dutch DJ and record producer widely regarded as one of the most influential figures in electronic dance music.
-
E.
Oliver Heldens
Oliver Heldens is a Dutch DJ and electronic music producer known for pioneering the future house genre and releasing international hits like "Gecko (Overdrive)."
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbf948d88190a4dd4a0774a8505b |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ee9fd108190b12e8624bb66caf2 |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:35 a.m.