Triple

T17125458
Position Surface form Disambiguated ID Type / Status
Subject Star Maa E415581 entity
Predicate sisterChannel P5818 FINISHED
Object Star Maa Movies E415581 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: Star Maa Movies | Statement: [Star Maa, sisterChannel, Star Maa Movies]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Star Maa Movies
Context triple: [Star Maa, sisterChannel, Star Maa Movies]
  • A. Star Maa chosen
    Star Maa is a popular Telugu-language television channel in India known for its entertainment programming, including serials, reality shows, and movies.
  • B. Sri Surya Movies
    Sri Surya Movies is an Indian film production company known for producing Tamil-language movies such as the hit film "Kadhalan."
  • C. Star Utsav
    Star Utsav is an Indian Hindi-language television channel known for broadcasting reruns of popular Star network shows and family-oriented entertainment content.
  • D. Apoorva Raagangal
    Apoorva Raagangal is a landmark 1975 Tamil-language drama film known for its bold exploration of unconventional relationships and for launching the career of actor Rajinikanth.
  • E. Shree Ashtavinayak Cine Vision
    Shree Ashtavinayak Cine Vision is an Indian film production and distribution company known for backing several major Bollywood films.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f026ae188190b8c1e08529719878 completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a013a12a7288190911c1be2667916c0 completed May 11, 2026, 2:08 a.m.
Created at: April 10, 2026, 5:36 a.m.