Triple

T22105282
Position Surface form Disambiguated ID Type / Status
Subject Shankar–Jaikishan E546269 entity
Predicate notableWork P4 FINISHED
Object Junglee 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: Junglee | Statement: [Shankar–Jaikishan, notableWork, Junglee]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Junglee
Context triple: [Shankar–Jaikishan, notableWork, Junglee]
  • A. Junglee chosen
    Junglee is a 1961 Hindi romantic comedy film starring Shammi Kapoor that became iconic for its music, energetic performances, and the popularization of the song "Yahoo! Chahe Koi Mujhe Junglee Kahe."
  • B. Roaring Tiger
    Roaring Tiger is the fierce tiger mascot representing Colorado College’s athletic teams and school spirit.
  • C. Safed Haathi
    Safed Haathi is an Indian children's adventure film, best known for its heartwarming story about a boy's bond with a white elephant and its direction by acclaimed filmmaker Tapan Sinha.
  • D. Rangbaaz
    Rangbaaz is a Bangladeshi film that helped establish actor Razzak as a major star in the country’s cinema.
  • E. Khakee
    Khakee is a 2004 Indian action thriller film directed by Rajkumar Santoshi, centered on a high-stakes police mission and noted for its intense narrative and ensemble cast.
  • 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12918d7a4819080283c287a253c9f completed April 28, 2026, 9:39 p.m.
Created at: April 16, 2026, 8:30 p.m.