Triple
T20139510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aquanura |
E491121
|
entity |
| Predicate | musicComposer |
P32102
|
FINISHED |
| Object | André Rieu |
—
|
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: André Rieu | Statement: [Aquanura, musicComposer, André Rieu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: André Rieu Context triple: [Aquanura, musicComposer, André Rieu]
-
A.
André Rieu
chosen
André Rieu is a Dutch violinist and conductor best known for popularizing classical and waltz music worldwide with his Johann Strauss Orchestra.
-
B.
Gil Mellé
Gil Mellé was an American jazz saxophonist, composer, and pioneering electronic music innovator known for his film and television scores.
-
C.
Andreas Vollenweider
Andreas Vollenweider is a Swiss harpist and composer renowned for his innovative, genre-blending instrumental music that gained international acclaim in the 1980s.
-
D.
Eduard van Beinum
Eduard van Beinum was a renowned Dutch conductor best known for his mid-20th-century leadership of Amsterdam’s Royal Concertgebouw Orchestra and his refined, transparent interpretations of the symphonic repertoire.
-
E.
Stefan Richter
Stefan Richter is a relatively common German personal name shared by multiple individuals across fields such as sports, science, and the arts.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66798d59c81908ebcd6644b1b3744 |
completed | April 20, 2026, 5:51 p.m. |
Created at: April 11, 2026, 11:32 p.m.