Triple
T19426530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Études-tableaux, Op. 33 |
E485992
|
entity |
| Predicate | intendedPerformerLevel |
P100059
|
FINISHED |
| Object | virtuoso pianist |
—
|
LITERAL 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: virtuoso pianist | Statement: [Études-tableaux, Op. 33, intendedPerformerLevel, virtuoso pianist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedPerformerLevel Context triple: [Études-tableaux, Op. 33, intendedPerformerLevel, virtuoso pianist]
-
A.
intendedPlayerLevel
chosen
Indicates the player level for which something (such as content, an item, or a challenge) is designed or meant to be used.
-
B.
targetPerformanceLevel
Indicates the specific performance standard or level that an entity is expected or required to achieve.
-
C.
intendedForPerformanceBy
Indicates that something (such as a work, role, or piece) is designed or meant to be performed by a particular performer or type of performer.
-
D.
qualificationLevel
Indicates the degree or rank of competence, certification, or formal credentials required for or possessed in relation to something.
-
E.
eligiblePerformers
Indicates that certain entities are qualified or permitted to perform in a specified event, role, or context.
- F. None of above.
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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63219f27481909fe686209defc971 |
completed | April 20, 2026, 2:03 p.m. |
| PD | Predicate disambiguation | batch_69e4fd6e806081909053f325ba01ab6b |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:37 p.m.