Triple
T7368729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pawan Kalyan |
E169936
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Pawan Kalyan |
E169936
|
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: Pawan Kalyan | Statement: [Pawan Kalyan, name, Pawan Kalyan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pawan Kalyan Context triple: [Pawan Kalyan, name, Pawan Kalyan]
-
A.
Pawan Kalyan
chosen
Pawan Kalyan is a prominent Indian film actor, producer, and politician best known for his work in Telugu cinema and his charismatic screen presence.
-
B.
Mahesh Babu
Mahesh Babu is a leading Indian actor and producer best known for his work in Telugu cinema, where he is celebrated for his charismatic screen presence and numerous blockbuster films.
-
C.
Ram Charan
Ram Charan is a prominent Indian film actor and producer best known for his leading roles in Telugu cinema and for being one of the highest-paid actors in the industry.
-
D.
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.
-
E.
Rana Daggubati
Rana Daggubati is an Indian film actor and producer best known internationally for his role as the antagonist Bhallaladeva in the blockbuster "Baahubali" 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_69c68a5ade988190885b7175f63b7534 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f17fe278819094eb1dd886583c6a |
completed | March 27, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8ac7fdaec8190a014513b8b60977b |
completed | March 29, 2026, 4:37 a.m. |
Created at: March 27, 2026, 3:07 p.m.