Triple

T22599310
Position Surface form Disambiguated ID Type / Status
Subject Sun Raha Hai E574768 entity
Predicate filmLeadActress P6108 FINISHED
Object Shraddha Kapoor 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: Shraddha Kapoor | Statement: [Sun Raha Hai, filmLeadActress, Shraddha Kapoor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shraddha Kapoor
Context triple: [Sun Raha Hai, filmLeadActress, Shraddha Kapoor]
  • A. Shraddha Kapoor chosen
    Shraddha Kapoor is a popular Indian film actress and singer known for her work in Hindi cinema, including notable roles in films like Aashiqui 2, Haider, and Stree.
  • B. Aditi Rao Hydari
    Aditi Rao Hydari is an Indian actress and classical dancer known for her work in Hindi, Tamil, Telugu, and Malayalam films, often praised for her expressive performances and graceful screen presence.
  • C. Shriya Saran
    Shriya Saran is an Indian actress and model known for her work in Telugu, Tamil, and Hindi cinema, appearing in numerous commercially successful and critically acclaimed films.
  • D. Parineeti Chopra
    Parineeti Chopra is an Indian film actress known for her work in Hindi cinema, particularly in romantic comedies and dramas.
  • E. Radhika Madan
    Radhika Madan is an Indian actress known for her work in Hindi films and television, transitioning from popular TV serials to acclaimed Bollywood roles.
  • 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_69e245bc11308190b69d794d5d1e0bb6 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1626b5f5481909a104088d1c96720 completed April 29, 2026, 1:44 a.m.
Created at: April 17, 2026, 2:50 p.m.