Triple
T7613709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Allu Aravind |
E172306
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Yevadu |
E658186
|
NE 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: Yevadu | Statement: [Allu Aravind, notableWork, Yevadu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yevadu Context triple: [Allu Aravind, notableWork, Yevadu]
-
A.
Yevadu
chosen
Yevadu is a 2014 Telugu-language action thriller film starring Ram Charan, known for its high-octane action sequences and commercial success in Indian cinema.
-
B.
Brindavanam
Brindavanam is a 2010 Telugu-language romantic comedy film starring N. T. Rama Rao Jr., known for its family-centric storyline, entertainment value, and commercial success.
-
C.
Soggadu
Soggadu is a popular 1975 Telugu romantic drama film produced by D. Ramanaidu, regarded as one of the classics of Telugu cinema.
-
D.
Bharat Ane Nenu
Bharat Ane Nenu is a 2018 Telugu political drama film starring Mahesh Babu as an idealistic young chief minister who sets out to reform the corrupt political system.
-
E.
Bommarillu
Bommarillu is a popular 2006 Telugu romantic comedy-drama film celebrated for its engaging family-centric story, charming performances, and memorable music.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c6994f50808190ba228764bb422417 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa418ef081908fd17ff367520995 |
completed | March 27, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c86868dce08190b31229ff2e06fe0c |
completed | March 28, 2026, 11:46 p.m. |
Created at: March 27, 2026, 3:55 p.m.