Triple
T22273882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sholay |
E550550
|
entity |
| Predicate | notableCharacter |
P1481
|
FINISHED |
| Object | Gabbar Singh |
—
|
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: Gabbar Singh | Statement: [Sholay, notableCharacter, Gabbar Singh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gabbar Singh Context triple: [Sholay, notableCharacter, Gabbar Singh]
-
A.
Gabbar Singh
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.
Gabbar Singh
chosen
Gabbar Singh is an iconic, sadistic dacoit villain from the classic Indian film "Sholay," widely regarded as one of Bollywood’s most memorable antagonists.
-
C.
Gabbar Hill
Gabbar Hill is a revered hill in Gujarat, India, known as a major Shakti Peetha and pilgrimage site associated with the goddess Amba.
-
D.
Ram Baran
Ram Baran is the given name of Ram Baran Yadav, the first president of Nepal.
-
E.
Baiju Bawra
Baiju Bawra is a 1952 Hindi musical drama film renowned for its classical music compositions and emotionally intense storyline.
- 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_69e11e43d8208190aff4f9cf7f2c2a8a |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f14ea547e4819098baf88f3c605242 |
completed | April 29, 2026, 12:19 a.m. |
Created at: April 16, 2026, 8:40 p.m.