Triple

T5778847
Position Surface form Disambiguated ID Type / Status
Subject Anupam Kher E127507 entity
Predicate notableWork P4 FINISHED
Object Saaransh
Saaransh is a critically acclaimed 1984 Hindi drama film, best known for featuring Anupam Kher in a powerful early lead role as an elderly father coping with loss.
 E546210 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: Saaransh | Statement: [Anupam Kher, notableWork, Saaransh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Saaransh
Context triple: [Anupam Kher, notableWork, Saaransh]
  • A. Neeladri
    Neeladri is one of the sacred hills that form part of the Tirumala hill range associated with the Tirumala Venkateswara Temple in Andhra Pradesh, India.
  • B. Varuni
    Varuni is a Hindu goddess associated with wine and divine intoxication, revered as the consort of the Vedic sea god Varuna.
  • C. Thasra
    Thasra is a town located in the Kheda district of the Indian state of Gujarat.
  • D. Vaidehi
    Vaidehi is an epithet of Sita, the revered heroine of the Hindu epic Ramayana and wife of Lord Rama.
  • E. Devaka
    Devaka is a figure in Hindu tradition known primarily as the father of Devaki, the mother of the deity Krishna.
  • 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: Saaransh
Triple: [Anupam Kher, notableWork, Saaransh]
Generated description
Saaransh is a critically acclaimed 1984 Hindi drama film, best known for featuring Anupam Kher in a powerful early lead role as an elderly father coping with loss.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Saaransh
Target entity description: Saaransh is a critically acclaimed 1984 Hindi drama film, best known for featuring Anupam Kher in a powerful early lead role as an elderly father coping with loss.
  • A. Neeladri
    Neeladri is one of the sacred hills that form part of the Tirumala hill range associated with the Tirumala Venkateswara Temple in Andhra Pradesh, India.
  • B. Varuni
    Varuni is a Hindu goddess associated with wine and divine intoxication, revered as the consort of the Vedic sea god Varuna.
  • C. Thasra
    Thasra is a town located in the Kheda district of the Indian state of Gujarat.
  • D. Vaidehi
    Vaidehi is an epithet of Sita, the revered heroine of the Hindu epic Ramayana and wife of Lord Rama.
  • E. Devaka
    Devaka is a figure in Hindu tradition known primarily as the father of Devaki, the mother of the deity Krishna.
  • 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_69c008361fa88190aefa4dc41b051e7f completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c029e107348190a03086f1cbfae0d3 completed March 22, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e735f408190b188b94131f1e51b completed March 22, 2026, 11:42 p.m.
NEDg Description generation batch_69c08dc00df48190ad2cf716ad6eeb87 completed March 23, 2026, 12:48 a.m.
NED2 Entity disambiguation (via description) batch_69c08e3b05a881909892ce776309920d completed March 23, 2026, 12:50 a.m.
Created at: March 22, 2026, 3:50 p.m.