Triple
T22103006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hum Aapke Hain Koun..! |
E546215
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Satish Shah |
—
|
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: Satish Shah | Statement: [Hum Aapke Hain Koun..!, starring, Satish Shah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Satish Shah Context triple: [Hum Aapke Hain Koun..!, starring, Satish Shah]
-
A.
Satish Shah
chosen
Satish Shah is an Indian actor best known for his comic roles in Hindi films and television, particularly in popular sitcoms like "Yeh Jo Hai Zindagi" and "Sarabhai vs Sarabhai."
-
B.
Satish Jain
Satish Jain is an Indian economist and academic known for his contributions to economic theory and his association with the Delhi School of Economics.
-
C.
Rasesh Bhatt
Rasesh Bhatt is known primarily as the husband of renowned Indian cooperative organizer and SEWA founder Ela Bhatt.
-
D.
Jigar Shah
Jigar Shah is a clean energy entrepreneur and investor best known as the founder of SunEdison and a prominent advocate for market-based climate solutions.
-
E.
Santosh Patel
Santosh Patel is the practical, zoo-owning father of protagonist Piscine Molitor Patel in Yann Martel’s novel "Life of Pi."
- 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.