Triple

T16685685
Position Surface form Disambiguated ID Type / Status
Subject Paresh Rawal E405455 entity
Predicate notableWork P4 FINISHED
Object Kabzaa
Kabzaa is a 1992 Hindi-language action crime film known for its underworld-centric storyline and ensemble cast, including Paresh Rawal.
 E1228634 NE FINISHED

How this triple was built (4 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: Kabzaa | Statement: [Paresh Rawal, notableWork, Kabzaa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kabzaa
Context triple: [Paresh Rawal, notableWork, Kabzaa]
  • A. Mardaani
    Mardaani is a 2014 Indian crime thriller film that follows a tough female police officer’s pursuit of a child trafficking racket.
  • B. Rangbaaz
    Rangbaaz is a Bangladeshi film that helped establish actor Razzak as a major star in the country’s cinema.
  • C. Andaz
    Andaz is a luxury boutique hotel brand known for its contemporary design, locally inspired experiences, and personalized service.
  • D. Andaz
    Andaz is a classic 1949 Hindi romantic drama film, directed by Mehboob Khan and starring Raj Kapoor, Nargis, and Dilip Kumar, known for its love triangle and progressive themes.
  • E. Dilwaala
    Dilwaala is an Indian film best known for featuring actress Persis Khambatta in a notable role.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kabzaa
Triple: [Paresh Rawal, notableWork, Kabzaa]
Generated description
Kabzaa is a 1992 Hindi-language action crime film known for its underworld-centric storyline and ensemble cast, including Paresh Rawal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kabzaa
Target entity description: Kabzaa is a 1992 Hindi-language action crime film known for its underworld-centric storyline and ensemble cast, including Paresh Rawal.
  • A. Mardaani
    Mardaani is a 2014 Indian crime thriller film that follows a tough female police officer’s pursuit of a child trafficking racket.
  • B. Rangbaaz
    Rangbaaz is a Bangladeshi film that helped establish actor Razzak as a major star in the country’s cinema.
  • C. Andaz
    Andaz is a classic 1949 Hindi romantic drama film, directed by Mehboob Khan and starring Raj Kapoor, Nargis, and Dilip Kumar, known for its love triangle and progressive themes.
  • D. Andaz
    Andaz is a luxury boutique hotel brand known for its contemporary design, locally inspired experiences, and personalized service.
  • E. Dilwaala
    Dilwaala is an Indian film best known for featuring actress Persis Khambatta in a notable role.
  • F. None of above. chosen

Provenance (5 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_6a0091966fbc81908cd1db230ddbb82b completed May 10, 2026, 2:09 p.m.
NEDg Description generation batch_6a00920dd72c8190b30d4edd779e7029 completed May 10, 2026, 2:11 p.m.
NED2 Entity disambiguation (via description) batch_6a0092e322d08190862ae42a28c9e5cf completed May 10, 2026, 2:14 p.m.
Created at: April 10, 2026, 5:19 a.m.