Triple

T22103044
Position Surface form Disambiguated ID Type / Status
Subject Special 26 E546216 entity
Predicate producer P490 FINISHED
Object Shital Bhatia NE NERFINISHED

How this triple was built (3 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: Shital Bhatia | Statement: [Special 26, producer, Shital Bhatia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shital Bhatia
Context triple: [Special 26, producer, Shital Bhatia]
  • A. Deepa Bhatia
    Deepa Bhatia is an Indian film editor known for her acclaimed work on several Hindi films, including the critically celebrated drama "Taare Zameen Par."
  • B. Persis Khambatta
    Persis Khambatta was an Indian model and actress best known internationally for her role as Lieutenant Ilia in "Star Trek: The Motion Picture."
  • C. Tarika Bansal
    Tarika Bansal is the ambitious daughter of the protagonist in the Hindi film "Angrezi Medium," whose dream of studying abroad drives the emotional core of the story.
  • D. Bhavani Choudhry
    Bhavani Choudhry is a fictional character from the 1994 Hindi action drama film "Vijaypath."
  • E. Sharan Narang
    Sharan Narang is a machine learning researcher known for his work on large-scale natural language processing models, including contributions to the development of the T5 transformer architecture.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shital Bhatia
Target entity description: Shital Bhatia is an Indian film producer known for backing acclaimed Hindi movies, including the heist thriller "Special 26."
  • A. Deepa Bhatia
    Deepa Bhatia is an Indian film editor known for her acclaimed work on several Hindi films, including the critically celebrated drama "Taare Zameen Par."
  • B. Persis Khambatta
    Persis Khambatta was an Indian model and actress best known internationally for her role as Lieutenant Ilia in "Star Trek: The Motion Picture."
  • C. Tarika Bansal
    Tarika Bansal is the ambitious daughter of the protagonist in the Hindi film "Angrezi Medium," whose dream of studying abroad drives the emotional core of the story.
  • D. Bhavani Choudhry
    Bhavani Choudhry is a fictional character from the 1994 Hindi action drama film "Vijaypath."
  • E. Sharan Narang
    Sharan Narang is a machine learning researcher known for his work on large-scale natural language processing models, including contributions to the development of the T5 transformer architecture.
  • F. None of above. chosen

Provenance (2 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129175a7881909549883f23c53dca completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.