Triple
T21944969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheeni Kum |
E541910
|
entity |
| Predicate | screenplayBy |
P15305
|
FINISHED |
| Object | R. Balki |
—
|
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: R. Balki | Statement: [Cheeni Kum, screenplayBy, R. Balki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: R. Balki Context triple: [Cheeni Kum, screenplayBy, R. Balki]
-
A.
R. Balki
chosen
R. Balki is an Indian filmmaker and screenwriter best known for directing acclaimed Hindi films such as "Cheeni Kum," "Paa," and "Pad Man."
-
B.
Charles Bisharat
Charles Bisharat is an American violinist and composer best known for his work in jazz, new age, and pop music, including collaborations with artists like Yanni and John Tesh.
-
C.
Dani Karavan
Dani Karavan was an Israeli sculptor and environmental artist renowned for his large-scale site-specific memorials and public artworks that integrate landscape, architecture, and history.
-
D.
Alan Kohan
Alan Kohan is a member of the Kohan family, related to television writer and producer Jenji Kohan.
-
E.
Ramin Ganeshram
Ramin Ganeshram is an American journalist, food writer, and author known for her work on culinary history and cultural heritage.
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1242688988190a7b8f033c49368de |
completed | April 28, 2026, 9:18 p.m. |
Created at: April 16, 2026, 7:56 p.m.