Triple

T16685687
Position Surface form Disambiguated ID Type / Status
Subject Paresh Rawal E405455 entity
Predicate notableWork P4 FINISHED
Object Roja (Hindi dubbed version) E202642 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: Roja (Hindi dubbed version) | Statement: [Paresh Rawal, notableWork, Roja (Hindi dubbed version)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Roja (Hindi dubbed version)
Context triple: [Paresh Rawal, notableWork, Roja (Hindi dubbed version)]
  • A. Roja chosen
    Roja is a critically acclaimed 1992 Indian Tamil-language political thriller film directed by Mani Ratnam, noted for its powerful storytelling and A. R. Rahman's debut film score.
  • B. Yannai
    Yannai is another name for Alexander Jannaeus, a Hasmonean king of Judea and high priest who ruled in the early 1st century BCE.
  • C. Zinda Rood
    Zinda Rood is a biographical work by Javid Iqbal that chronicles the life, thought, and legacy of his father, the philosopher-poet Muhammad Iqbal.
  • D. Rangbaaz
    Rangbaaz is a Bangladeshi film that helped establish actor Razzak as a major star in the country’s cinema.
  • E. Nal o Daman
    Nal o Daman is a celebrated Persian masnavi (narrative poem) by the Mughal court poet Faizi, renowned for its romantic and allegorical storytelling.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37ea550c0819085bd36c44237a61a completed April 18, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a43f6a08190913ca123a2377f95 completed May 10, 2026, 1:38 p.m.
Created at: April 10, 2026, 5:19 a.m.