Triple

T23431532
Position Surface form Disambiguated ID Type / Status
Subject Nana Patekar E563345 entity
Predicate notableWork P4 FINISHED
Object Krantiveer 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: Krantiveer | Statement: [Nana Patekar, notableWork, Krantiveer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krantiveer
Context triple: [Nana Patekar, notableWork, Krantiveer]
  • A. Krantiveer chosen
    Krantiveer is a 1994 Hindi-language Indian action drama film known for its intense social themes and powerful performances.
  • B. Kranti
    Kranti is a 1981 Indian historical drama film set during the Indian independence movement, directed by Manoj Kumar and featuring an ensemble cast including Dilip Kumar and Tom Alter.
  • C. Kranti
    Kranti is a 2002 Hindi action drama film starring Amisha Patel alongside Bobby Deol and Vinod Khanna.
  • D. Veer
    Veer is an honorific title in India signifying bravery and valor, often bestowed on distinguished warriors or freedom fighters such as Kunwar Singh.
  • E. Bajrangbali
    Bajrangbali is a revered form of the Hindu deity Hanuman, worshipped as a symbol of strength, devotion, and protection.
  • 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_69e24553980c8190bb66a2ae0bdab125 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a5d8130881909e4f3455afef1804 completed April 29, 2026, 6:31 a.m.
Created at: April 17, 2026, 5:49 p.m.