Triple

T11240927
Position Surface form Disambiguated ID Type / Status
Subject Shahid Kapoor E266070 entity
Predicate notableWork P4 FINISHED
Object Jab We Met E904753 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: Jab We Met | Statement: [Shahid Kapoor, notableWork, Jab We Met]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jab We Met
Context triple: [Shahid Kapoor, notableWork, Jab We Met]
  • A. Jab We Met chosen
    Jab We Met is a popular 2007 Indian romantic comedy film directed by Imtiaz Ali, celebrated for its charming love story and memorable performances.
  • B. Ghajini
    Ghajini is a 2008 Indian psychological action thriller film, directed by A.R. Murugadoss, known for its amnesia-driven revenge plot and Aamir Khan’s intensely physical performance.
  • C. Miss Bala
    Miss Bala is a 2019 American action thriller film about a woman who becomes entangled with a drug cartel and law enforcement after witnessing a nightclub shooting in Mexico.
  • D. Jaane Jaan
    Jaane Jaan is a Hindi-language mystery thriller film featuring Kareena Kapoor Khan in a prominent role.
  • E. Yeh Jawaani Hai Deewani
    Yeh Jawaani Hai Deewani is a popular 2013 Bollywood coming-of-age romantic drama film that follows four friends as they navigate love, friendship, and ambition from youth into adulthood.
  • 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_69d6aac656d48190b275efaa7d6074ee completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e919eaf48190a1457851cfc56afb completed April 9, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4ad79e4788190af39186f37600a64 completed April 19, 2026, 10:24 a.m.
Created at: April 8, 2026, 9:30 p.m.