Triple
T33201645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pachchai Nirame |
E849913
|
entity |
| Predicate | originalScoreContext |
—
|
GENERATED |
| Object | romantic drama film |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalScoreContext Context triple: [Pachchai Nirame, originalScoreContext, romantic drama film]
-
A.
scoringRecordContext
Indicates the situational or contextual factors under which a scoring event or record occurs.
-
B.
hasOriginalScoreFor
chosen
Indicates that one entity is the original musical score specifically composed for another entity, such as a film, show, or performance.
-
C.
scoringInOriginalUse
Indicates that an entity is performing a scoring action within its initial or primary context of use, rather than in a derived or subsequent context.
-
D.
scoring
Indicates the act of achieving points or a measurable result, typically by successfully completing an action that contributes to a score or outcome.
-
E.
featuresOriginalScore
Indicates that an entity includes or is accompanied by its initial, unaltered score or musical composition.
- F. None of above.
Provenance (1 batch)
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_69f3495efedc8190843a5728089544b9 |
completed | April 30, 2026, 12:21 p.m. |
Created at: May 1, 2026, 1:30 a.m.