Triple

T16235948
Position Surface form Disambiguated ID Type / Status
Subject Amisha Patel E394110 entity
Predicate coStarredWith P14987 FINISHED
Object Hrithik Roshan E861273 NE FINISHED

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: [Amisha Patel, coStarredWith, Hrithik Roshan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hrithik Roshan
Context triple: [Amisha Patel, coStarredWith, 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 (3 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2455abc608190ba3308c15c9e8a23 completed April 17, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00aae0f87c819085ebc7d475ebe8ba completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 5:04 a.m.