Triple
T7045346
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koratala Siva |
E163616
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Acharya |
E638848
|
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: Acharya | Statement: [Koratala Siva, notableWork, Acharya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Acharya Context triple: [Koratala Siva, notableWork, Acharya]
-
A.
Acharya
chosen
Acharya is a 2022 Indian Telugu-language action drama film starring Chiranjeevi and Ram Charan, centered on a Naxalite-turned-social reformer fighting corruption and injustice.
-
B.
Acharya
Acharya is a Sanskrit honorific title traditionally bestowed upon revered spiritual teachers and scholars in Indian religious and philosophical traditions.
-
C.
Vijnanabhikshu
Vijnanabhikshu was a prominent 16th-century Indian philosopher best known for his influential commentaries that systematized and harmonized the Samkhya, Yoga, and Vedanta traditions.
-
D.
भानुभक्त आचार्य
भानुभक्त आचार्य नेपाली भाषाका आदिकवि हुन्, जसले रामायणको नेपाली अनुवाद र आफ्ना सरल, जनजीवनसँग जोडिएका काव्यकृतिहरूका कारण विशेष ख्याति प्राप्त गरेका छन्।
-
E.
Maharshi
Maharshi is a 2019 Telugu-language action drama film starring Mahesh Babu as a successful businessman who reconnects with his roots and champions farmers' rights.
- 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_69c6885f598c8190b6b6495c59d8d962 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e238c7a4819095f5ff7283d48da8 |
completed | March 27, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c79c8379d88190b91b820851d1049a |
completed | March 28, 2026, 9:16 a.m. |
Created at: March 27, 2026, 2:37 p.m.