Triple
T29415794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Film Award for Best Background Score |
E746022
|
entity |
| Predicate | isBackgroundScoreSpecific |
P115017
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [National Film Award for Best Background Score, isBackgroundScoreSpecific, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isBackgroundScoreSpecific Context triple: [National Film Award for Best Background Score, isBackgroundScoreSpecific, yes]
-
A.
hasBackgroundScoreBy
Indicates that something (such as a scene, video, or media item) is accompanied by a background musical score created or provided by a specified entity.
-
B.
isScoreFor
Indicates that one value represents the score or result associated with a particular entity, event, or performance.
-
C.
isPartOfScoreBy
Indicates that something constitutes a component or segment within a larger score or musical composition.
-
D.
isScoreForSetting
Indicates that a particular score value is associated with, or applies to, a specific setting or configuration.
-
E.
hasScoreCharacteristic
chosen
Indicates that one entity possesses or is associated with a particular scoring-related characteristic or property.
- 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_69f0a79f6d5c8190a350baed0157e06f |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f66a65299881909114bd1ce64b3f46 |
completed | May 2, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 3:01 p.m.