Triple

T22108713
Position Surface form Disambiguated ID Type / Status
Subject Raghuveer Chaudhari E546357 entity
Predicate awardReceived P11 FINISHED
Object Narmad Suvarna Chandrak
Narmad Suvarna Chandrak is a prestigious Gujarati literary award given for outstanding contributions to Gujarati literature.
E1518430 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: Narmad Suvarna Chandrak | Statement: [Raghuveer Chaudhari, awardReceived, Narmad Suvarna Chandrak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Narmad Suvarna Chandrak
Context triple: [Raghuveer Chaudhari, awardReceived, Narmad Suvarna Chandrak]
  • 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. Vaijayanti
    Vaijayanti is the ancient name of Banavasi, a historic town in Karnataka, India, renowned as one of the oldest centers of Hindu and Jain culture in the region.
  • C. Maheshwari
    Maheshwari is a Hindu goddess form of Mahadevi, revered as a supreme mother deity and embodiment of divine feminine power.
  • D. Dasaratha
    Dasaratha is the legendary king of Ayodhya in the Hindu epic Ramayana and the father of Lord Rama.
  • E. 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.
  • 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: Narmad Suvarna Chandrak
Triple: [Raghuveer Chaudhari, awardReceived, Narmad Suvarna Chandrak]
Generated description
Narmad Suvarna Chandrak is a prestigious Gujarati literary award given for outstanding contributions to Gujarati literature.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Narmad Suvarna Chandrak
Target entity description: Narmad Suvarna Chandrak is a prestigious Gujarati literary award given for outstanding contributions to Gujarati literature.
  • 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. Vaijayanti
    Vaijayanti is the ancient name of Banavasi, a historic town in Karnataka, India, renowned as one of the oldest centers of Hindu and Jain culture in the region.
  • C. Maheshwari
    Maheshwari is a Hindu goddess form of Mahadevi, revered as a supreme mother deity and embodiment of divine feminine power.
  • D. Dasaratha
    Dasaratha is the legendary king of Ayodhya in the Hindu epic Ramayana and the father of Lord Rama.
  • E. 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.
  • 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1291b9c988190b3ddd06d1f40dc78 completed April 28, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a87ac12e881909ba2c0de6f3b26f5 completed May 18, 2026, 3:29 a.m.
NEDg Description generation batch_6a0a88e654ac8190a0e77e946bd9722b completed May 18, 2026, 3:35 a.m.
NED2 Entity disambiguation (via description) batch_6a0a8966298c8190a0d0e7d2b6eacdb4 completed May 18, 2026, 3:37 a.m.
Created at: April 16, 2026, 8:30 p.m.