Triple
T37885552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Impromptu in A-flat major, Op. 29 |
E944984
|
entity |
| Predicate | numberOfImpromptusByChopin |
P204445
|
FINISHED |
| Object | 1st of 4 published impromptus |
—
|
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: 1st of 4 published impromptus | Statement: [Impromptu in A-flat major, Op. 29, numberOfImpromptusByChopin, 1st of 4 published impromptus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfImpromptusByChopin Context triple: [Impromptu in A-flat major, Op. 29, numberOfImpromptusByChopin, 1st of 4 published impromptus]
-
A.
numberOfSonatas
Indicates the quantity of sonatas associated with a given entity.
-
B.
numberOfPreludes
Indicates the quantity of preludes associated with a given entity or work.
-
C.
numberOfFugues
Indicates the quantity of fugues associated with a given entity or context.
-
D.
numberOfOverdubbedPianoParts
Indicates the count of piano parts in a work or recording that were added later as overdubs rather than performed live in the original take.
-
E.
numberOfConcertosComposed
Indicates the total count of concertos that an entity has composed.
- F. None of above. chosen
Provenance (4 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_69f76ef02668819089e7940c4001af5e |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a192a008190a9917688a9e804f4 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:19 p.m.