Triple
T8602558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Humoreske in B-flat major, Op. 20 |
E203713
|
entity |
| Predicate | composerEra |
P83811
|
FINISHED |
| Object | early period of Robert Schumann |
—
|
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: early period of Robert Schumann | Statement: [Humoreske in B-flat major, Op. 20, composerEra, early period of Robert Schumann]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: composerEra Context triple: [Humoreske in B-flat major, Op. 20, composerEra, early period of Robert Schumann]
-
A.
composer
Indicates that one entity is the creator or writer of a musical work associated with another entity.
-
B.
appliesToEra
Indicates that something is relevant, valid, or in effect during a particular historical or temporal era.
-
C.
eraOfCompositionOfSources
Indicates the historical time period during which the referenced sources were originally composed.
-
D.
composerPreviousWork
Indicates that a given work was created by the same composer before the referenced work, establishing a chronological relationship between the two compositions.
-
E.
approximateCompletionEra
Indicates the general historical period or time range during which something was completed, without specifying an exact date.
- 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_69ca832b56948190ba751cec255308f1 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46da609881909a6d851915e8df14 |
completed | March 31, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69cc454eb2908190acf0e4336bc67e7b |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc46c330bc8190a9b644078881c6ff |
completed | March 31, 2026, 10:12 p.m. |
Created at: March 30, 2026, 6:24 p.m.