Triple
T29947391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Filmfare Award for Best Music Director – Tamil |
E760671
|
entity |
| Predicate | awardForDiscipline |
P1619
|
FINISHED |
| Object | music direction |
—
|
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: music direction | Statement: [Filmfare Award for Best Music Director – Tamil, awardForDiscipline, music direction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardForDiscipline Context triple: [Filmfare Award for Best Music Director – Tamil, awardForDiscipline, music direction]
-
A.
awardFor
Indicates that something is given or granted as recognition or a prize for a particular achievement, work, or contribution.
-
B.
awardConferred
Indicates that an award or honor has been formally granted by one entity to another.
-
C.
awardType
chosen
Indicates the specific category or kind of award associated with an entity or event.
-
D.
awardLanguage
Indicates that an award is given specifically for works or achievements in a particular language.
-
E.
awardClass
Indicates the classification or category assigned to an award within an award-giving 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_69f2246562b881909d57622f4086d43d |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f78fd5a6388190bfda4bbb2e222e5b |
completed | May 3, 2026, 6:11 p.m. |
| PD | Predicate disambiguation | batch_69f78e2ac3fc819081a45c6841375c8d |
completed | May 3, 2026, 6:04 p.m. |
Created at: April 29, 2026, 6:24 p.m.