Triple

T22033561
Position Surface form Disambiguated ID Type / Status
Subject Drishyam 2 E544144 entity
Predicate characterPortrayedBy P1507 FINISHED
Object Shriya Saran 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: Shriya Saran | Statement: [Drishyam 2, characterPortrayedBy, Shriya Saran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shriya Saran
Context triple: [Drishyam 2, characterPortrayedBy, Shriya Saran]
  • A. Shriya Saran chosen
    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.
  • B. Shefali Shah
    Shefali Shah is an acclaimed Indian actress known for her powerful performances in film, television, and streaming series such as "Satya," "Dil Dhadakne Do," and "Delhi Crime."
  • C. Sanya Malhotra
    Sanya Malhotra is an Indian actress known for her acclaimed debut in the film "Dangal" and subsequent roles in Hindi cinema.
  • D. 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.
  • 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_69e11e2f98c8819083e11eab90942a78 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f127ef97348190b8dcdcad11694ebe completed April 28, 2026, 9:34 p.m.
Created at: April 16, 2026, 8:24 p.m.