Triple
T18562507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sesha Vahana |
E453679
|
entity |
| Predicate | languageName |
P13426
|
FINISHED |
| Object | Sesha Vahanam (Telugu) |
—
|
NE NERFINISHED |
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: Sesha Vahanam (Telugu) | Statement: [Sesha Vahana, languageName, Sesha Vahanam (Telugu)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sesha Vahanam (Telugu) Context triple: [Sesha Vahana, languageName, Sesha Vahanam (Telugu)]
-
A.
Sesha Vahanam
chosen
Sesha Vahanam is a ceremonial Hindu temple vehicle depicting the serpent Adisesha, used to carry the deity Vishnu during religious processions and festivals.
-
B.
Yevadu
Yevadu is a 2014 Telugu-language action thriller film starring Ram Charan, known for its high-octane action sequences and commercial success in Indian cinema.
-
C.
Devadasu
Devadasu is a classic 1953 Telugu romantic drama film, widely regarded as one of Indian cinema’s most iconic tragic love stories.
-
D.
Vivegam
Vivegam is a 2017 Tamil-language action thriller film starring Ajith Kumar as an elite counter-terrorism agent on a high-stakes mission.
-
E.
Soggadu
Soggadu is a popular 1975 Telugu romantic drama film produced by D. Ramanaidu, regarded as one of the classics of Telugu cinema.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53afb4f088190adf0b2b64057a210 |
completed | April 19, 2026, 8:28 p.m. |
Created at: April 10, 2026, 11:42 a.m.