Triple
T29854057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D. 899 |
E758137
|
entity |
| Predicate | isFirstSetOf |
P127186
|
FINISHED |
| Object | Schubert’s two sets of Impromptus for piano |
—
|
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: Schubert’s two sets of Impromptus for piano | Statement: [D. 899, isFirstSetOf, Schubert’s two sets of Impromptus for piano]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFirstSetOf Context triple: [D. 899, isFirstSetOf, Schubert’s two sets of Impromptus for piano]
-
A.
isFirstSingleFrom
Indicates that one musical work is the first single released from another work, typically an album or larger recording project.
-
B.
isFirstNumberOneFor
Indicates that the first number in a given pair, sequence, or context is equal to one for the associated entity or situation.
-
C.
isFirstToInclude
Indicates that an entity is the earliest or original one to incorporate or contain another specified entity, feature, or element.
-
D.
wasFirstOf
chosen
Indicates that the subject is the earliest or initial instance in a series, sequence, or group of similar entities or events.
-
E.
isFirstOrderIn
Indicates that an entity participates in a relationship or process as the primary or first-order element, rather than through a secondary or higher-order connection.
- 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_69f2245a82cc8190a387e7d0118d710b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6764ace8881909ccba69193322eef |
completed | May 2, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69f66ac32b60819092290b2de35988d3 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 29, 2026, 5:45 p.m.