Triple

T6314971
Position Surface form Disambiguated ID Type / Status
Subject Sunidhi Chauhan E141592 entity
Predicate spouse P13 FINISHED
Object Hitesh Sonik
Hitesh Sonik is an Indian music composer and producer known for his work in film and television music.
E583908 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: Hitesh Sonik | Statement: [Sunidhi Chauhan, spouse, Hitesh Sonik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hitesh Sonik
Context triple: [Sunidhi Chauhan, spouse, Hitesh Sonik]
  • A. Sachit Mehra
    Sachit Mehra is a Canadian political figure who serves in a top leadership role within the Liberal Party of Canada.
  • B. Yogesh Singh
    Yogesh Singh is an Indian academic and administrator who serves as the Vice-Chancellor of the University of Delhi.
  • C. Nish Kumar
    Nish Kumar is a British stand-up comedian, actor, and radio presenter known for his sharp political satire and appearances on various UK comedy shows.
  • D. Suraj Sharma
    Suraj Sharma is an Indian actor best known for his breakout performance as the shipwrecked teenager Pi Patel in Ang Lee’s acclaimed film "Life of Pi."
  • E. Rajeev Suri
    Rajeev Suri is an Indian business executive best known for serving as the CEO of Nokia and later Inmarsat, leading major transformations in the global telecommunications industry.
  • 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: Hitesh Sonik
Triple: [Sunidhi Chauhan, spouse, Hitesh Sonik]
Generated description
Hitesh Sonik is an Indian music composer and producer known for his work in film and television music.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hitesh Sonik
Target entity description: Hitesh Sonik is an Indian music composer and producer known for his work in film and television music.
  • A. Sachit Mehra
    Sachit Mehra is a Canadian political figure who serves in a top leadership role within the Liberal Party of Canada.
  • B. Yogesh Singh
    Yogesh Singh is an Indian academic and administrator who serves as the Vice-Chancellor of the University of Delhi.
  • C. Nish Kumar
    Nish Kumar is a British stand-up comedian, actor, and radio presenter known for his sharp political satire and appearances on various UK comedy shows.
  • D. Suraj Sharma
    Suraj Sharma is an Indian actor best known for his breakout performance as the shipwrecked teenager Pi Patel in Ang Lee’s acclaimed film "Life of Pi."
  • E. Rajeev Suri
    Rajeev Suri is an Indian business executive best known for serving as the CEO of Nokia and later Inmarsat, leading major transformations in the global telecommunications industry.
  • 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_69c008d13b8c8190be47d896eb735605 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064a197488190946c4637b3c829a5 completed March 22, 2026, 9:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e46feeec8190bdb39a48c92bacf1 completed March 27, 2026, 1:59 a.m.
NEDg Description generation batch_69c5ee04b2388190b36dc9bb23b4a18a completed March 27, 2026, 2:40 a.m.
NED2 Entity disambiguation (via description) batch_69c5ee780bb08190a97c90804f9c6b68 completed March 27, 2026, 2:42 a.m.
Created at: March 22, 2026, 4:28 p.m.