Triple

T7772387
Position Surface form Disambiguated ID Type / Status
Subject Kamal Haasan E179101 entity
Predicate spouse P13 FINISHED
Object Sarika Thakur
Sarika Thakur, known mononymously as Sarika, is an Indian actress and former child star recognized for her work in Hindi cinema and television.
E689293 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: Sarika Thakur | Statement: [Kamal Haasan, spouse, Sarika Thakur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarika Thakur
Context triple: [Kamal Haasan, spouse, Sarika Thakur]
  • A. Sushma Kharakwal
    Sushma Kharakwal is an Indian politician who has served as the mayor of Lucknow, the capital city of Uttar Pradesh.
  • B. Supriya Sule
    Supriya Sule is an Indian politician and prominent leader from Maharashtra, known for her role as a senior member of the Nationalist Congress Party and her tenure as a Member of Parliament in the Lok Sabha.
  • C. Sarita Khurana
    Sarita Khurana is a filmmaker and producer known for her work on culturally focused, immigrant-centered stories in film and television.
  • D. Renu Saluja
    Renu Saluja was a renowned Indian film editor celebrated for her influential work in parallel and mainstream Hindi cinema during the 1980s and 1990s.
  • E. Sandhini Agarwal
    Sandhini Agarwal is an AI researcher known for her work at OpenAI on safety, policy, and the development and deployment of large-scale models such as CLIP.
  • 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: Sarika Thakur
Triple: [Kamal Haasan, spouse, Sarika Thakur]
Generated description
Sarika Thakur, known mononymously as Sarika, is an Indian actress and former child star recognized for her work in Hindi cinema and television.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sarika Thakur
Target entity description: Sarika Thakur, known mononymously as Sarika, is an Indian actress and former child star recognized for her work in Hindi cinema and television.
  • A. Sushma Kharakwal
    Sushma Kharakwal is an Indian politician who has served as the mayor of Lucknow, the capital city of Uttar Pradesh.
  • B. Supriya Sule
    Supriya Sule is an Indian politician and prominent leader from Maharashtra, known for her role as a senior member of the Nationalist Congress Party and her tenure as a Member of Parliament in the Lok Sabha.
  • C. Sarita Khurana
    Sarita Khurana is a filmmaker and producer known for her work on culturally focused, immigrant-centered stories in film and television.
  • D. Renu Saluja
    Renu Saluja was a renowned Indian film editor celebrated for her influential work in parallel and mainstream Hindi cinema during the 1980s and 1990s.
  • E. Sandhini Agarwal
    Sandhini Agarwal is an AI researcher known for her work at OpenAI on safety, policy, and the development and deployment of large-scale models such as CLIP.
  • 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_69c69f30602c819082ab52cd4af5c592 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c7046048688190a6cbc64e82b58eca completed March 27, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8f30ecf808190a19d57a814d45a42 completed March 29, 2026, 9:38 a.m.
NEDg Description generation batch_69c8f3deabac8190b3da7a941375eea6 completed March 29, 2026, 9:41 a.m.
NED2 Entity disambiguation (via description) batch_69c8f49af9c88190a88408ac19136daf completed March 29, 2026, 9:44 a.m.
Created at: March 27, 2026, 4:11 p.m.