Triple
T10212980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taal |
E242375
|
entity |
| Predicate | distributor |
P1951
|
FINISHED |
| Object | Mukta Arts |
E849876
|
NE FINISHED |
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: Mukta Arts | Statement: [Taal, distributor, Mukta Arts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mukta Arts Context triple: [Taal, distributor, Mukta Arts]
-
A.
Mukta Arts
chosen
Mukta Arts is an Indian film production and distribution company founded by filmmaker Subhash Ghai, known for producing numerous popular Bollywood movies.
-
B.
Akshata Designs
Akshata Designs is a fashion label founded by Akshata Murty, known for its focus on luxury, Indian-inspired clothing and textiles.
-
C.
Geetha Arts
Geetha Arts is a prominent Indian film production and distribution company known for producing major Telugu-language (Tollywood) blockbusters.
-
D.
Sri Venkateswara Creations
Sri Venkateswara Creations is a prominent Indian film production company known for producing major Telugu-language movies in the Tollywood industry.
-
E.
Muktha Films
Muktha Films is an Indian film production company best known for producing acclaimed Tamil cinema, including the classic crime drama "Nayakan."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa23bce881909b5deac612ec22cb |
completed | April 6, 2026, 12:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6a7f6730081908b941eaeb6c00993 |
completed | April 8, 2026, 7:09 p.m. |
Created at: April 6, 2026, 11:03 a.m.