Triple
T22103001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hum Aapke Hain Koun..! |
E546215
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Mohnish Bahl |
—
|
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: Mohnish Bahl | Statement: [Hum Aapke Hain Koun..!, starring, Mohnish Bahl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mohnish Bahl Context triple: [Hum Aapke Hain Koun..!, starring, Mohnish Bahl]
-
A.
Mohnish Bahl
chosen
Mohnish Bahl is an Indian film and television actor known for his character roles in popular Hindi movies and TV serials since the late 1980s.
-
B.
Amin Bhatia
Amin Bhatia is a Canadian composer and synthesist known for his cinematic electronic scores for film and television.
-
C.
G. R. Damodaran
G. R. Damodaran was an Indian educationist and visionary institution-builder who played a key role in advancing technical and higher education in Tamil Nadu.
-
D.
Prashant Mehrotra
Prashant Mehrotra is a senior investment executive and partner at Clearlake Capital, a prominent private equity and alternative investment firm.
-
E.
Rohan Murty
Rohan Murty is an Indian computer scientist, entrepreneur, and philanthropist, known for founding the Murty Classical Library of India and for his work in technology and academia.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129175a7881909549883f23c53dca |
completed | April 28, 2026, 9:39 p.m. |
Created at: April 16, 2026, 8:30 p.m.