Triple

T16443160
Position Surface form Disambiguated ID Type / Status
Subject Ghajini E399357 entity
Predicate producer P490 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: [Ghajini, producer, Geetha Arts]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Geetha Arts
Context triple: [Ghajini, producer, 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. Mukta Arts
    Mukta Arts is an Indian film production and distribution company founded by filmmaker Subhash Ghai, known for producing numerous popular Bollywood movies.
  • C. Kavithalayaa Productions
    Kavithalayaa Productions is an Indian film and television production company founded by filmmaker K. Balachander, known for producing influential Tamil-language movies and serials.
  • 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. 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.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32cd8d2988190acb5722a15623319 completed April 18, 2026, 7:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00458f8f3c8190ad5eff2ad2a32dea completed May 10, 2026, 8:45 a.m.
Created at: April 10, 2026, 5:10 a.m.