Triple
T20417507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qayamat: City Under Threat |
E500750
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Harry Baweja |
—
|
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: Harry Baweja | Statement: [Qayamat: City Under Threat, producer, Harry Baweja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Baweja Context triple: [Qayamat: City Under Threat, producer, Harry Baweja]
-
A.
Harry Baweja
chosen
Harry Baweja is an Indian film director and producer known for his work in Bollywood action and science fiction films.
-
B.
Ravi Bhalla
Ravi Bhalla is an American attorney and politician who became the first Sikh mayor of Hoboken, New Jersey, and one of the first turbaned Sikh mayors in the United States.
-
C.
Raman Bhalla
Raman Bhalla is a popular fictional television character from the Indian soap opera "Yeh Hai Mohabbatein," known for his complex, emotionally intense persona.
-
D.
Vijay Bhalla
Vijay Bhalla is a person notable enough to be recognized as a bearer of the surname Bhalla, though specific widely known public details about him are not clearly established.
-
E.
Vanraj Bhatia
Vanraj Bhatia was an acclaimed Indian composer known for his pioneering work in parallel cinema and television, blending Western classical techniques with Indian musical traditions.
- 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_69e0b4a935588190b9446a99b37ced44 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67a44ecf48190ba5a3872af500dc8 |
completed | April 20, 2026, 7:11 p.m. |
Created at: April 16, 2026, 11:30 a.m.