Triple
T20632176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vladimir Jurowski |
E506981
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Vladimir Jurowski |
—
|
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: Vladimir Jurowski | Statement: [Vladimir Jurowski, name, Vladimir Jurowski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vladimir Jurowski Context triple: [Vladimir Jurowski, name, Vladimir Jurowski]
-
A.
Vladimir Jurowski
chosen
Vladimir Jurowski is a renowned Russian-born conductor acclaimed for his interpretations of opera and symphonic repertoire and leadership of major European orchestras and opera houses.
-
B.
Vasily Petrenko
Vasily Petrenko is a Russian conductor renowned for his dynamic interpretations and leadership of major orchestras in Europe and beyond.
-
C.
Igor Petrenko
Igor Petrenko is a Russian film and television actor known for leading roles in historical and crime dramas.
-
D.
Daniel Harding
Daniel Harding is a renowned British conductor known for leading major orchestras and opera productions across Europe and beyond.
-
E.
Kirill Karabits
Kirill Karabits is a Ukrainian conductor internationally recognized for his dynamic interpretations and leadership of major orchestras.
- 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_69e0b4bd4a0081908d4e97a590a33fb2 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6ad0bdcd88190a59d68e03370b271 |
completed | April 20, 2026, 10:47 p.m. |
Created at: April 16, 2026, 11:42 a.m.