Triple
T16443157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ghajini |
E399357
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Allu Aravind |
E172306
|
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: Allu Aravind | Statement: [Ghajini, producer, Allu Aravind]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allu Aravind Context triple: [Ghajini, producer, Allu Aravind]
-
A.
Allu Aravind
chosen
Allu Aravind is a prominent Indian film producer and distributor, best known for founding the production company Geetha Arts and producing numerous successful Telugu and Hindi films.
-
B.
Allu Venkatesh
Allu Venkatesh is an Indian film producer and member of the prominent Allu family in the Telugu cinema industry.
-
C.
Krishnam Raju
Krishnam Raju was a prominent Indian film actor and politician, widely known as the "Rebel Star" of Telugu cinema.
-
D.
Chiranjeevi
Chiranjeevi is a legendary Indian film actor and former politician, widely regarded as one of the biggest and most influential stars in Telugu cinema.
-
E.
N. T. Rama Rao
N. T. Rama Rao was a legendary Indian film actor, filmmaker, and politician who became one of Telugu cinema’s biggest icons and served as the Chief Minister of Andhra Pradesh.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32cd8d2988190acb5722a15623319 |
completed | April 18, 2026, 7:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00458f8f3c8190ad5eff2ad2a32dea |
completed | May 10, 2026, 8:45 a.m. |
Created at: April 10, 2026, 5:10 a.m.