Triple
T33201854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vairamuthu |
E849920
|
entity |
| Predicate | numberOfNationalFilmAwardsForBestLyrics |
—
|
GENERATED |
| Object | 7 |
—
|
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: numberOfNationalFilmAwardsForBestLyrics Context triple: [Vairamuthu, numberOfNationalFilmAwardsForBestLyrics, 7]
-
A.
numberOfFilmfareAwardsForBestLyricist
Indicates the count of Filmfare Awards received by an entity specifically for the Best Lyricist category.
-
B.
numberOfNationalFilmAwards
Indicates the total count of national film awards that have been received by the referenced entity.
-
C.
numberOfNationalFilmAwardsForBestActress
Indicates the count of times an entity has received the National Film Award for Best Actress.
-
D.
numberOfNationalFilmAwardsForBestActor
Indicates the total count of National Film Awards received by an entity specifically in the Best Actor category.
-
E.
nationalFilmAwardsWon
Indicates that an entity has received one or more National Film Awards, specifying a winning achievement in that award system.
- F. None of above. chosen
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.