Triple

T14461214
Position Surface form Disambiguated ID Type / Status
Subject Priyanka Chopra Jonas E358587 entity
Predicate notableWork P4 FINISHED
Object Barfi! E829056 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: Barfi! | Statement: [Priyanka Chopra Jonas, notableWork, Barfi!]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barfi!
Context triple: [Priyanka Chopra Jonas, notableWork, Barfi!]
  • A. Barfi! chosen
    Barfi! is a critically acclaimed 2012 Indian romantic comedy-drama film known for its heartfelt storytelling, Chaplin-esque humor, and Ranbir Kapoor’s celebrated performance as a deaf-mute protagonist.
  • B. Tezaab
    Tezaab is a 1988 Hindi action-romance film widely remembered for its intense storyline and the iconic song "Ek Do Teen."
  • C. The Lunchbox
    The Lunchbox is a critically acclaimed 2013 Indian romantic drama film that tells the story of an unlikely epistolary relationship sparked by a misdelivered lunchbox in Mumbai.
  • D. Phillauri
    Phillauri is a 2017 Indian romantic comedy-drama film that blends elements of fantasy and reincarnation, featuring a ghost bride entangled in a modern-day Punjabi wedding.
  • E. Gali Paranthe Wali
    Gali Paranthe Wali is a famous narrow street in Old Delhi renowned for its traditional shops specializing in a wide variety of stuffed parathas.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91abc1008190a19de4f8f0112c9d completed April 14, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6495660081908ab9db11939e74f7 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:19 a.m.