Triple
T33201645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pachchai Nirame |
E849913
|
entity |
| Predicate | originalScoreContext |
P199653
|
FINISHED |
| Object | romantic drama film |
—
|
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: romantic drama film | Statement: [Pachchai Nirame, originalScoreContext, romantic drama film]
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 (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_69f3495efedc8190843a5728089544b9 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a02f2d6f35481909829d4ec710dcb0f |
completed | May 12, 2026, 9:28 a.m. |
| PD | Predicate disambiguation | batch_6a02f15a2460819080cb4be5b50221d0 |
completed | May 12, 2026, 9:22 a.m. |
Created at: May 1, 2026, 1:30 a.m.