Triple

T8153995
Position Surface form Disambiguated ID Type / Status
Subject Jack Malik E190399 entity
Predicate portrayedBy P1507 FINISHED
Object Himesh Patel E144034 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: Himesh Patel | Statement: [Jack Malik, portrayedBy, Himesh Patel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Himesh Patel
Context triple: [Jack Malik, portrayedBy, Himesh Patel]
  • A. Himesh Patel chosen
    Himesh Patel is a British actor best known for his breakout lead role in the film "Yesterday" and supporting performances in major productions like "Tenet" and the series "Station Eleven."
  • B. Sacha Dhawan
    Sacha Dhawan is a British actor known for his versatile television and film roles, including his acclaimed portrayal of the Master in the long-running sci-fi series Doctor Who.
  • C. Avan Jogia
    Avan Jogia is a Canadian actor best known for his breakout role on the Nickelodeon series "Victorious" and subsequent work in film and television.
  • D. Dev Patel
    Dev Patel is a British actor known for his breakout role in "Slumdog Millionaire" and acclaimed performances in films such as "Lion" and "The Green Knight."
  • E. Aasif Mandvi
    Aasif Mandvi is a British-American actor, comedian, and writer best known for his work as a correspondent on The Daily Show and for roles in film, television, and theater.
  • 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_69ca82bfeb6481909d07b91b5cf69f59 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb44d566b08190a6bb672f9c368806 completed March 31, 2026, 3:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbf0518688190b519fbe1823b95c2 completed April 1, 2026, 6:45 a.m.
Created at: March 30, 2026, 5:37 p.m.