Triple

T22102946
Position Surface form Disambiguated ID Type / Status
Subject Daddy (1989 film) E546214 entity
Predicate starring P1507 FINISHED
Object Pooja Bhatt 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: Pooja Bhatt | Statement: [Daddy (1989 film), starring, Pooja Bhatt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pooja Bhatt
Context triple: [Daddy (1989 film), starring, Pooja Bhatt]
  • A. Pooja Bhatt chosen
    Pooja Bhatt is an Indian actress, filmmaker, and producer known for her work in Hindi cinema since the early 1990s.
  • B. Neha Kapur
    Neha Kapur is an Indian model, former Miss India Universe 2006, and fashion entrepreneur.
  • C. Raveena Tandon
    Raveena Tandon is an Indian actress and producer known for her prominent roles in 1990s and early 2000s Bollywood films and for winning the National Film Award for Best Actress.
  • D. Ratna Pathak Shah
    Ratna Pathak Shah is an acclaimed Indian actress and theatre artist known for her versatile performances in film, television, and stage, including her iconic role in the TV series "Sarabhai vs Sarabhai."
  • E. Smriti Malhotra
    Smriti Malhotra is an Indian politician, former television actress, and current Union Minister better known by her married name, Smriti Irani.
  • 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_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.