Triple

T22103315
Position Surface form Disambiguated ID Type / Status
Subject Actor Prepares E546221 entity
Predicate notableAlumni P51 FINISHED
Object Hrithik Roshan 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: Hrithik Roshan | Statement: [Actor Prepares, notableAlumni, Hrithik Roshan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hrithik Roshan
Context triple: [Actor Prepares, notableAlumni, Hrithik Roshan]
  • A. Hrithik Roshan chosen
    Hrithik Roshan is a prominent Indian film actor known for his versatile performances, striking looks, and exceptional dancing skills in Bollywood cinema.
  • B. Akshaye Khanna
    Akshaye Khanna is an Indian film actor known for his versatile performances in Hindi cinema across both commercial hits and critically acclaimed dramas.
  • C. Siddharth Roy Kapur
    Siddharth Roy Kapur is an Indian film producer and media executive known for backing several critically acclaimed and commercially successful Bollywood films.
  • D. Saif Ali Khan
    Saif Ali Khan is a prominent Indian film actor and producer known for his work in Hindi cinema and for being a member of the Pataudi royal family.
  • E. Prithviraj Kapoor
    Prithviraj Kapoor was a pioneering Indian actor and theatre legend, regarded as one of the founding figures of Hindi cinema and the Kapoor film dynasty.
  • 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.