Triple
T7073302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dil Raju |
E164751
|
entity |
| Predicate | notableFilmDistributed |
P39384
|
FINISHED |
| Object | various Telugu-language films |
—
|
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: various Telugu-language films | Statement: [Dil Raju, notableFilmDistributed, various Telugu-language films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableFilmDistributed Context triple: [Dil Raju, notableFilmDistributed, various Telugu-language films]
-
A.
notableOriginalFilm
Indicates that a work is the original film from which another work (such as a remake, adaptation, or related production) is derived or notably based.
-
B.
notableWinningFilm
Indicates that a film has achieved notable recognition by winning a significant award or competition.
-
C.
distributedFilm
chosen
Indicates that one entity served as the distributor responsible for releasing or circulating a particular film.
-
D.
notableProductionFor
Indicates that an entity is especially well-known or recognized for producing or creating another specified entity.
-
E.
notableDirector
Indicates that a person has directed a work (such as a film or show) in a way that is recognized as significant or distinguished.
- 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_69c6887b96548190a8a9b3ac8adf4119 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4cb76548190bd98876f8ba925b7 |
completed | March 27, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69c6e1bfcb948190a5ada74fb8c054cb |
completed | March 27, 2026, 8 p.m. |
Created at: March 27, 2026, 2:39 p.m.