Triple
T7368762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pawan Kalyan |
E169936
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Gabbar Singh |
E659790
|
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: Gabbar Singh | Statement: [Pawan Kalyan, notableWork, Gabbar Singh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gabbar Singh Context triple: [Pawan Kalyan, notableWork, Gabbar Singh]
-
A.
Gabbar Singh
chosen
Gabbar Singh is a 2012 Telugu-language action-comedy film, a remake of the Hindi film Dabangg, that became one of Pawan Kalyan’s most popular and commercially successful movies.
-
B.
Babu
Babu was a hereditary aristocratic title used by the ruling family of the Jagdishpur estate in India.
-
C.
Alik Babu
Alik Babu is a notable literary work by Bengali writer and playwright Jyotirindranath Tagore.
-
D.
Lord Kakkar
Lord Kakkar is a British surgeon and crossbench peer known for his leadership roles in public service and healthcare governance.
-
E.
Baz Bahadur
Baz Bahadur was the last independent Sultan of Malwa in 16th-century India, renowned for his romantic legend with Rani Roopmati and his patronage of music and the arts.
- 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_69c810d9717c819099122cd64f9268fc |
completed | March 28, 2026, 5:33 p.m. |
Created at: March 27, 2026, 3:07 p.m.