Triple

T7613710
Position Surface form Disambiguated ID Type / Status
Subject Allu Aravind E172306 entity
Predicate employer P7 FINISHED
Object Geetha Arts E161562 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: Geetha Arts | Statement: [Allu Aravind, employer, Geetha Arts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geetha Arts
Context triple: [Allu Aravind, employer, Geetha Arts]
  • A. Geetha Arts chosen
    Geetha Arts is a prominent Indian film production and distribution company known for producing major Telugu-language (Tollywood) blockbusters.
  • B. Sri Venkateswara Creations
    Sri Venkateswara Creations is a prominent Indian film production company known for producing major Telugu-language movies in the Tollywood industry.
  • C. Ramanaidu Studios
    Ramanaidu Studios is a prominent film production complex in Hyderabad, India, widely recognized for its extensive facilities and major role in South Indian cinema.
  • D. Ramoji Group
    Ramoji Group is an Indian conglomerate best known for its diversified interests in media, entertainment, and hospitality.
  • E. Conjeevaram
    Conjeevaram is the former English name for Kanchipuram, an ancient South Indian temple city renowned for its historic shrines and silk weaving tradition.
  • 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_69c6994f50808190ba228764bb422417 completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6fa418ef081908fd17ff367520995 completed March 27, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89aa7b264819096ddeda8e4c5ddb4 completed March 29, 2026, 3:21 a.m.
Created at: March 27, 2026, 3:55 p.m.