Triple
T8676868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piano Concerto for the Left Hand |
E205935
|
entity |
| Predicate | hasMovementCount |
P32659
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Piano Concerto for the Left Hand, hasMovementCount, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMovementCount Context triple: [Piano Concerto for the Left Hand, hasMovementCount, 1]
-
A.
numberOfMovements
chosen
Indicates the total count of distinct movements or motion events associated with the given entity or context.
-
B.
movementCount
Indicates the number of times a movement or relocation action has occurred between the related entities.
-
C.
hasMovementType
Indicates the type or mode of movement associated with an entity, such as how it moves or is transported.
-
D.
hasMovementStructure
Indicates that one entity possesses or is characterized by a particular structure or pattern of movement.
-
E.
movementNumber
Indicates the specific sequential position of a movement within a larger multi-movement work or performance.
- 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_69ca83529a9c8190b5c075b4f14636ed |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4ae6d19c8190be003f7901c0468d |
completed | March 31, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69cc4567b5c881908d9ec5dcfc783fac |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:32 p.m.