Triple

T5462265
Position Surface form Disambiguated ID Type / Status
Subject Nishant E122619 entity
Predicate starring P1507 FINISHED
Object Anant Nag
Anant Nag is a renowned Indian actor known primarily for his work in Kannada cinema, acclaimed for his versatile performances in both parallel and mainstream films.
 E524114 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: Anant Nag | Statement: [Nishant, starring, Anant Nag]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Anant Nag
Context triple: [Nishant, starring, Anant Nag]
  • A. Anup Kumar
    Anup Kumar is an Indian kabaddi player renowned for his leadership of the national team and his success in the Pro Kabaddi League.
  • B. Paresh Babu
    Paresh Babu is a central fictional character in Rabindranath Tagore’s Bengali novel "Gora," representing complex social and philosophical themes in colonial India.
  • C. Deepak Kapur
    Deepak Kapur is a computer scientist known for his influential work in automated reasoning and term rewriting systems.
  • D. Kamal Shirwadkar
    Kamal Shirwadkar was the wife of renowned Marathi poet and writer Vishnu Vaman Shirwadkar, popularly known as Kusumagraj.
  • E. Narayan Apte
    Narayan Apte was an Indian nationalist and co-conspirator in the assassination of Mahatma Gandhi, executed for his role in the plot.
  • 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: Anant Nag
Triple: [Nishant, starring, Anant Nag]
Generated description
Anant Nag is a renowned Indian actor known primarily for his work in Kannada cinema, acclaimed for his versatile performances in both parallel and mainstream films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Anant Nag
Target entity description: Anant Nag is a renowned Indian actor known primarily for his work in Kannada cinema, acclaimed for his versatile performances in both parallel and mainstream films.
  • A. Anup Kumar
    Anup Kumar is an Indian kabaddi player renowned for his leadership of the national team and his success in the Pro Kabaddi League.
  • B. Paresh Babu
    Paresh Babu is a central fictional character in Rabindranath Tagore’s Bengali novel "Gora," representing complex social and philosophical themes in colonial India.
  • C. Deepak Kapur
    Deepak Kapur is a computer scientist known for his influential work in automated reasoning and term rewriting systems.
  • D. Kamal Shirwadkar
    Kamal Shirwadkar was the wife of renowned Marathi poet and writer Vishnu Vaman Shirwadkar, popularly known as Kusumagraj.
  • E. Narayan Apte
    Narayan Apte was an Indian nationalist and co-conspirator in the assassination of Mahatma Gandhi, executed for his role in the plot.
  • 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_69bd4643f16081908d7f29e08096115a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9201dbfc8190bea22d6ecbc25b3e completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf6c6c2454819096da8367f6b94233 completed March 22, 2026, 4:13 a.m.
NEDg Description generation batch_69bf6e20dd9c8190a6d379aa9ad79b4c completed March 22, 2026, 4:20 a.m.
NED2 Entity disambiguation (via description) batch_69bf6e62f03481908fbbeb931defcc05 completed March 22, 2026, 4:21 a.m.
Created at: March 20, 2026, 2:08 p.m.