Triple

T22229327
Position Surface form Disambiguated ID Type / Status
Subject Sikandar Kher E549425 entity
Predicate notableWork P4 FINISHED
Object Mum Bhai
Mum Bhai is an Indian crime thriller web series centered on the rise of an underworld hitman in Mumbai’s gangland.
E1525272 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: Mum Bhai | Statement: [Sikandar Kher, notableWork, Mum Bhai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mum Bhai
Context triple: [Sikandar Kher, notableWork, Mum Bhai]
  • A. Baker Bhai
    Baker Bhai is a hugely popular fictional Bangladeshi television character created by Humayun Ahmed, known for his rebellious yet compassionate nature and enduring cultural impact.
  • B. Bundal Baaz
    Bundal Baaz is a 1976 Hindi fantasy-comedy film starring Shammi Kapoor, known for its lighthearted blend of romance, magic, and humor.
  • C. Chunky Pandey
    Chunky Pandey is an Indian film actor best known for his comic and character roles in numerous Bollywood movies since the late 1980s.
  • D. Crazy Mohan
    Crazy Mohan was a renowned Indian playwright, dialogue writer, and comedian best known for his witty Tamil stage plays and contributions to popular Tamil cinema.
  • E. Rowdy Rathore
    Rowdy Rathore is a 2012 Indian action masala film starring Akshay Kumar as a fearless cop who battles crime in a small town.
  • 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: Mum Bhai
Triple: [Sikandar Kher, notableWork, Mum Bhai]
Generated description
Mum Bhai is an Indian crime thriller web series centered on the rise of an underworld hitman in Mumbai’s gangland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mum Bhai
Target entity description: Mum Bhai is an Indian crime thriller web series centered on the rise of an underworld hitman in Mumbai’s gangland.
  • A. Baker Bhai
    Baker Bhai is a hugely popular fictional Bangladeshi television character created by Humayun Ahmed, known for his rebellious yet compassionate nature and enduring cultural impact.
  • B. Bundal Baaz
    Bundal Baaz is a 1976 Hindi fantasy-comedy film starring Shammi Kapoor, known for its lighthearted blend of romance, magic, and humor.
  • C. Chunky Pandey
    Chunky Pandey is an Indian film actor best known for his comic and character roles in numerous Bollywood movies since the late 1980s.
  • D. Crazy Mohan
    Crazy Mohan was a renowned Indian playwright, dialogue writer, and comedian best known for his witty Tamil stage plays and contributions to popular Tamil cinema.
  • E. Rowdy Rathore
    Rowdy Rathore is a 2012 Indian action masala film starring Akshay Kumar as a fearless cop who battles crime in a small town.
  • 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_69e11e4102b881909cf47d3768e25c19 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12bf173308190a3d21bfc59b39728 completed April 28, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0aae75b2ac819083289b84fd3b6dd7 completed May 18, 2026, 6:15 a.m.
NEDg Description generation batch_6a0aaf211d8481908e7c23e35e920e87 completed May 18, 2026, 6:18 a.m.
NED2 Entity disambiguation (via description) batch_6a0ab01b5cd48190bf67942798e4db45 completed May 18, 2026, 6:22 a.m.
Created at: April 16, 2026, 8:37 p.m.