Triple

T33200544
Position Surface form Disambiguated ID Type / Status
Subject Ronnie Screwvala E849888 entity
Predicate founded P104 FINISHED
Object UTV Motion Pictures (UK)
UTV Motion Pictures (UK) is the British arm of Indian media entrepreneur Ronnie Screwvala’s film production and distribution company, focusing on bringing Indian and international cinema to UK audiences.
E2040973 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: UTV Motion Pictures (UK) | Statement: [Ronnie Screwvala, founded, UTV Motion Pictures (UK)]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: UTV Motion Pictures (UK)
Triple: [Ronnie Screwvala, founded, UTV Motion Pictures (UK)]
Generated description
UTV Motion Pictures (UK) is the British arm of Indian media entrepreneur Ronnie Screwvala’s film production and distribution company, focusing on bringing Indian and international cinema to UK audiences.

Provenance (5 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_69f3495efedc8190843a5728089544b9 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6da21aa3c819095c1f74d7d7354bd completed May 3, 2026, 5:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a352fbdf2a88190bd74b039915ae0f1 completed June 19, 2026, 12:02 p.m.
NEDg Description generation batch_6a353049131081909dab994192fc07ef completed June 19, 2026, 12:04 p.m.
NED2 Entity disambiguation (via description) batch_6a35314a61f48190beb952372a672172 completed June 19, 2026, 12:08 p.m.
Created at: May 1, 2026, 1:29 a.m.