Triple
T7368736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pawan Kalyan |
E169936
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object | Nagendra Babu |
E637869
|
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: Nagendra Babu | Statement: [Pawan Kalyan, sibling, Nagendra Babu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nagendra Babu Context triple: [Pawan Kalyan, sibling, Nagendra Babu]
-
A.
Nagendra Babu
chosen
Nagendra Babu is an Indian film actor and producer primarily associated with Telugu cinema and the influential Konidela family film dynasty.
-
B.
Manohar Raju
Manohar Raju is an American attorney and criminal justice reform advocate who serves as the elected Public Defender of San Francisco.
-
C.
D. Suresh Babu
D. Suresh Babu is an Indian film producer and prominent figure in the Telugu cinema industry, known for heading Suresh Productions.
-
D.
Narendra Mandal
Narendra Mandal, also known as the Chamber of Princes, was a consultative assembly of the rulers of the princely states in British India, established to advise the colonial government on matters affecting their interests.
-
E.
Kotagiri Venkateswara Rao
Kotagiri Venkateswara Rao is a prominent Indian film editor known for his extensive work in Telugu cinema and collaborations on major blockbuster 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_69c87067b98081908439af85623a97ea |
completed | March 29, 2026, 12:20 a.m. |
Created at: March 27, 2026, 3:07 p.m.