Triple
T6969313
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geetha Arts |
E161562
|
entity |
| Predicate | foundedBy |
P104
|
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: [Geetha Arts, foundedBy, Allu Aravind]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allu Aravind Context triple: [Geetha Arts, foundedBy, 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.
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.
-
D.
Venkatesh Daggubati
Venkatesh Daggubati is a prominent Indian film actor best known for his work in Telugu cinema, where he has had a successful career spanning several decades.
-
E.
N. T. Rama Rao Jr.
N. T. Rama Rao Jr. is a prominent Indian film actor known for his leading roles in Telugu cinema and his dynamic performances in action and drama films.
- 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_69c68853cff881908439d488924a8283 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db152b2081909271493a5d1469fb |
completed | March 27, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c76a04a77c8190959056a68a349f6e |
completed | March 28, 2026, 5:41 a.m. |
Created at: March 27, 2026, 2:30 p.m.