Triple

T22103074
Position Surface form Disambiguated ID Type / Status
Subject Special 26 E546216 entity
Predicate leadCharacter P1668 FINISHED
Object Waseem Khan NE NERFINISHED

How this triple was built (3 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: Waseem Khan | Statement: [Special 26, leadCharacter, Waseem Khan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waseem Khan
Context triple: [Special 26, leadCharacter, Waseem Khan]
  • A. Arshad Khan
    Arshad Khan was a victim killed during the 2011 U.S. special forces raid in Abbottabad, Pakistan, that targeted Osama bin Laden.
  • B. Vaseem Khan
    Vaseem Khan is a British crime fiction author best known for his Baby Ganesh Agency series set in India and his Malabar House historical crime novels.
  • C. Shehzad Khan
    Shehzad Khan is an Indian film and television actor best known for his supporting and comic roles in Hindi cinema, including the classic romance "Qayamat Se Qayamat Tak."
  • D. Zayed Khan
    Zayed Khan is an Indian film actor best known for his roles in early-2000s Bollywood movies such as "Main Hoon Na."
  • E. Saleem Raza
    Saleem Raza was a Pakistani film actor known for his character roles in classic Lollywood movies of the 1950s and 1960s.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Waseem Khan
Target entity description: Waseem Khan is the central mastermind thief character in the Hindi heist film "Special 26," known for orchestrating elaborate cons while posing as a government officer.
  • A. Arshad Khan
    Arshad Khan was a victim killed during the 2011 U.S. special forces raid in Abbottabad, Pakistan, that targeted Osama bin Laden.
  • B. Vaseem Khan
    Vaseem Khan is a British crime fiction author best known for his Baby Ganesh Agency series set in India and his Malabar House historical crime novels.
  • C. Shehzad Khan
    Shehzad Khan is an Indian film and television actor best known for his supporting and comic roles in Hindi cinema, including the classic romance "Qayamat Se Qayamat Tak."
  • D. Zayed Khan
    Zayed Khan is an Indian film actor best known for his roles in early-2000s Bollywood movies such as "Main Hoon Na."
  • E. Saleem Raza
    Saleem Raza was a Pakistani film actor known for his character roles in classic Lollywood movies of the 1950s and 1960s.
  • F. None of above. chosen

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.