Triple
T8558325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nayanthara |
E202631
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Jawan |
E685131
|
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: Jawan | Statement: [Nayanthara, notableWork, Jawan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jawan Context triple: [Nayanthara, notableWork, Jawan]
-
A.
Jawan
chosen
Jawan is a 2023 Indian action thriller film starring Shah Rukh Khan, known for its high-octane action, social themes, and massive box-office success.
-
B.
Pathaan
Pathaan is a 2023 Indian action thriller film starring Shah Rukh Khan as a spy in a high-octane, espionage-driven storyline within the YRF Spy Universe.
-
C.
Kabali
Kabali is a 2016 Indian Tamil-language action drama film starring Rajinikanth as an aging gangster seeking revenge and redemption.
-
D.
Rudaali
Rudaali is a 1993 Indian Hindi-language drama film, based on Mahasweta Devi’s short story, known for its powerful portrayal of professional mourners in rural Rajasthan and Dimple Kapadia’s acclaimed performance.
-
E.
Fidaa
Fidaa is a popular Telugu romantic drama film known for its rural backdrop, charming love story, and strong performances, particularly by actress Sai Pallavi.
- 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_69ca8326e6c881908ff720d6abaebdc5 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe9485dd88190bc2cf2adf39d48ee |
completed | March 31, 2026, 3:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce89455dcc819088bdf5a2f653da17 |
completed | April 2, 2026, 3:20 p.m. |
Created at: March 30, 2026, 6:20 p.m.