Triple

T22259363
Position Surface form Disambiguated ID Type / Status
Subject Rough Night E550176 entity
Predicate castMember P1668 FINISHED
Object Karan Soni 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: Karan Soni | Statement: [Rough Night, castMember, Karan Soni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karan Soni
Context triple: [Rough Night, castMember, Karan Soni]
  • A. Karan Soni chosen
    Karan Soni is an Indian-American actor best known for his comedic roles in film and television, including his recurring portrayal of the anxious taxi driver Dopinder in the Deadpool franchise.
  • B. Karanvir Sharma
    Karanvir Sharma is an Indian film and television actor known for his roles in Hindi movies and popular TV dramas.
  • C. Chandan Arora
    Chandan Arora is an Indian film editor and director known for his work on several Hindi films, including the romantic comedy "Qarib Qarib Singlle."
  • D. Sooraj Pancholi
    Sooraj Pancholi is an Indian film actor known for his Bollywood debut in the romantic action film "Hero" (2015) and for being the son of actors Aditya Pancholi and Zarina Wahab.
  • E. Vikrant Kapoor
    Vikrant Kapoor is the central male protagonist in the 1999 Bollywood musical romance film "Taal," portrayed by actor Akshaye Khanna.
  • 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_69e11e42adb8819087714772ea606709 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f138c5b54c8190854690ba599639fa completed April 28, 2026, 10:46 p.m.
Created at: April 16, 2026, 8:39 p.m.