Triple
T25255708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kannada cinema |
E633167
|
entity |
| Predicate | nationalAwardCategory |
P1619
|
FINISHED |
| Object | National Film Award for Best Feature Film in Kannada |
—
|
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: National Film Award for Best Feature Film in Kannada | Statement: [Kannada cinema, nationalAwardCategory, National Film Award for Best Feature Film in Kannada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalAwardCategory Context triple: [Kannada cinema, nationalAwardCategory, National Film Award for Best Feature Film in Kannada]
-
A.
notableAwardCategory
Indicates that an award is recognized as a significant or distinguished category within a broader system of awards.
-
B.
awardType
chosen
Indicates the specific category or kind of award associated with an entity or event.
-
C.
isOscarCategory
Indicates that a given entity is a category or award type within the Oscars (Academy Awards) system.
-
D.
awardName
Indicates the specific name or title of an award associated with an entity.
-
E.
nationalFilmAward
Indicates that an entity has received or is associated with a National Film Award, representing official recognition in a national-level film awards system.
- 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_69e75a922ad481908f4f1f884583cb42 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f6430a93a48190854ce71df680b2fa |
completed | May 2, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69f641da05b881909f6283c988639c53 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 21, 2026, 1:13 p.m.