Triple

T4522812
Position Surface form Disambiguated ID Type / Status
Subject Yadu dynasty E103306 entity
Predicate hasAncestor P369 FINISHED
Object Nahusha
Nahusha is a legendary king from Hindu mythology who briefly ruled the heavens in place of Indra before being cursed and cast down for his arrogance.
 E449554 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: Nahusha | Statement: [Yadu dynasty, hasAncestor, Nahusha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nahusha
Context triple: [Yadu dynasty, hasAncestor, Nahusha]
  • A. Andhaka
    Andhaka is a prominent clan within the ancient Yadava lineage of Hindu tradition, often associated with the family and kingdom of Krishna.
  • B. Saketa
    Saketa is the ancient name of the historic Indian city now known as Ayodhya, a major cultural and religious center in Hindu tradition.
  • C. Saartha
    Saartha is a renowned Kannada novel by S. L. Bhyrappa that explores philosophical, cultural, and spiritual themes through a journey set in ancient India.
  • D. Meghnad
    Meghnad is a given name most notably associated with Indian astrophysicist Meghnad Saha, renowned for his pioneering work on thermal ionization and stellar spectra.
  • E. Zahhak
    Zahhak is a legendary tyrant king in Persian mythology, most famously depicted in Ferdowsi’s Shahnameh as a demonic ruler with serpents growing from his shoulders.
  • 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: Nahusha
Triple: [Yadu dynasty, hasAncestor, Nahusha]
Generated description
Nahusha is a legendary king from Hindu mythology who briefly ruled the heavens in place of Indra before being cursed and cast down for his arrogance.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nahusha
Target entity description: Nahusha is a legendary king from Hindu mythology who briefly ruled the heavens in place of Indra before being cursed and cast down for his arrogance.
  • A. Andhaka
    Andhaka is a prominent clan within the ancient Yadava lineage of Hindu tradition, often associated with the family and kingdom of Krishna.
  • B. Saketa
    Saketa is the ancient name of the historic Indian city now known as Ayodhya, a major cultural and religious center in Hindu tradition.
  • C. Saartha
    Saartha is a renowned Kannada novel by S. L. Bhyrappa that explores philosophical, cultural, and spiritual themes through a journey set in ancient India.
  • D. Ghatotkacha
    Ghatotkacha is a powerful, magic-wielding rakshasa warrior from the Mahabharata, famed for his crucial role and heroic death in the Kurukshetra War.
  • E. Meghnad
    Meghnad is a given name most notably associated with Indian astrophysicist Meghnad Saha, renowned for his pioneering work on thermal ionization and stellar spectra.
  • 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_69bd43dba59881908cf59b31df8c7ae1 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd574d7c2481909049955ca47613a6 completed March 20, 2026, 2:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69bda440e104819095d84fcd183c7a44 completed March 20, 2026, 7:47 p.m.
NEDg Description generation batch_69bda540ce648190b23b7408152465eb completed March 20, 2026, 7:51 p.m.
NED2 Entity disambiguation (via description) batch_69bda5a33cd48190994a6260c4e35589 completed March 20, 2026, 7:53 p.m.
Created at: March 20, 2026, 1:02 p.m.