Triple

T21110957
Position Surface form Disambiguated ID Type / Status
Subject Garm Hava E520168 entity
Predicate screenwriter P2831 FINISHED
Object Shama Zaidi NE NERFINISHED

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: Shama Zaidi | Statement: [Garm Hava, screenwriter, Shama Zaidi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shama Zaidi
Context triple: [Garm Hava, screenwriter, Shama Zaidi]
  • A. Shama Zaidi chosen
    Shama Zaidi is an Indian screenwriter, theatre and costume designer, and political activist known for her collaborations with filmmakers like Shyam Benegal and her contributions to parallel cinema.
  • B. Rubaiya Sayeed
    Rubaiya Sayeed is an Indian doctor who became widely known after her high-profile 1989 kidnapping by militants in Jammu and Kashmir, an event that had major political repercussions in the region.
  • C. Safia Akhtar
    Safia Akhtar was the mother of renowned Indian lyricist and screenwriter Javed Akhtar and a member of a prominent literary family.
  • D. Neelima Azeem
    Neelima Azeem is an Indian actress and classical Kathak dancer known for her work in television, film, and theatre, as well as being the mother of Bollywood actor Shahid Kapoor.
  • E. Moneeza Hashmi
    Moneeza Hashmi is a Pakistani television producer and media professional known for her contributions to public broadcasting and cultural programming.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0b509a318819092fbbcb21d1fe603 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72101f7308190beb202a052ff04d2 completed April 21, 2026, 7:02 a.m.
Created at: April 16, 2026, 2:54 p.m.