Triple
T21944937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cheeni Kum |
E541910
|
entity |
| Predicate | distributor |
P1951
|
FINISHED |
| Object | Eros International |
—
|
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: Eros International | Statement: [Cheeni Kum, distributor, Eros International]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eros International Context triple: [Cheeni Kum, distributor, Eros International]
-
A.
Eros International
chosen
Eros International is a major Indian film production and distribution company known for financing and releasing numerous prominent Bollywood and regional movies worldwide.
-
B.
ITC Entertainment
ITC Entertainment was a British television production and distribution company best known for creating and financing popular TV series and films from the 1960s through the 1980s.
-
C.
Wadia Group
Wadia Group is one of India’s oldest conglomerates, with diversified interests spanning textiles, aviation, real estate, food, and chemicals.
-
D.
Regal Entertainment Group
Regal Entertainment Group is one of the largest movie theater chains in the United States, operating multiplex cinemas across the country.
-
E.
Ramoji Group
Ramoji Group is an Indian conglomerate best known for its diversified interests in media, entertainment, and hospitality.
- 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.