Triple

T19293142
Position Surface form Disambiguated ID Type / Status
Subject Bhagadatta E482491 entity
Predicate nameInSanskrit P21581 FINISHED
Object भगदत्त
भगदत्त प्राचीन भारतीय महाकाव्य महाभारत में वर्णित प्राग्ज्योतिषपुर के राजा और महान योद्धा के रूप में प्रसिद्ध हैं।
 E1369592 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: भगदत्त | Statement: [Bhagadatta, nameInSanskrit, भगदत्त]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: भगदत्त
Context triple: [Bhagadatta, nameInSanskrit, भगदत्त]
  • A. Yudgha
    Yudgha is an alternative name for Yidgha, an Eastern Iranian language spoken primarily in the Chitral region of northern Pakistan.
  • B. Yugant
    Yugant is a critically acclaimed Indian Bengali film directed by Aparna Sen that explores the disintegration of a modern marriage against the backdrop of environmental and social change.
  • C. Tharkha
    Tharkha is a traditional musical form or instrument associated with the cultural heritage and folk music of the Bodo people of Northeast India.
  • D. Devrashtre
    Devrashtre is a village in Maharashtra, India, known as the birthplace of prominent Indian politician Yashwantrao Chavan.
  • E. Kapurush
    Kapurush is a 1965 Bengali drama film directed by Satyajit Ray, known for its nuanced exploration of moral cowardice and complex human relationships.
  • 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: भगदत्त
Triple: [Bhagadatta, nameInSanskrit, भगदत्त]
Generated description
भगदत्त प्राचीन भारतीय महाकाव्य महाभारत में वर्णित प्राग्ज्योतिषपुर के राजा और महान योद्धा के रूप में प्रसिद्ध हैं।
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: भगदत्त
Target entity description: भगदत्त प्राचीन भारतीय महाकाव्य महाभारत में वर्णित प्राग्ज्योतिषपुर के राजा और महान योद्धा के रूप में प्रसिद्ध हैं।
  • A. Yudgha
    Yudgha is an alternative name for Yidgha, an Eastern Iranian language spoken primarily in the Chitral region of northern Pakistan.
  • B. Yugant
    Yugant is a critically acclaimed Indian Bengali film directed by Aparna Sen that explores the disintegration of a modern marriage against the backdrop of environmental and social change.
  • C. Tharkha
    Tharkha is a traditional musical form or instrument associated with the cultural heritage and folk music of the Bodo people of Northeast India.
  • D. Devrashtre
    Devrashtre is a village in Maharashtra, India, known as the birthplace of prominent Indian politician Yashwantrao Chavan.
  • E. Kapurush
    Kapurush is a 1965 Bengali drama film directed by Satyajit Ray, known for its nuanced exploration of moral cowardice and complex human relationships.
  • 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fc824b448190865230eed8ef9ebf completed April 20, 2026, 10:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a07144f4dec8190a90234763f4586f6 completed May 15, 2026, 12:40 p.m.
NEDg Description generation batch_6a07187a53a08190b707b0e55dcdcb44 completed May 15, 2026, 12:58 p.m.
NED2 Entity disambiguation (via description) batch_6a0718cd7e9881909b39b362cc8bfcd8 completed May 15, 2026, 12:59 p.m.
Created at: April 10, 2026, 1:31 p.m.