Triple

T6491156
Position Surface form Disambiguated ID Type / Status
Subject Vamana E148038 entity
Predicate epithet P743 FINISHED
Object Urukrama
Urukrama is a revered epithet of the Hindu deity Vamana (an incarnation of Vishnu), highlighting his mighty, far-striding cosmic steps.
 E596161 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: Urukrama | Statement: [Vamana, epithet, Urukrama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Urukrama
Context triple: [Vamana, epithet, Urukrama]
  • A. Umreth
    Umreth is a town in the Anand district of Gujarat, India, known for its agricultural trade and proximity to the region’s dairy industry.
  • B. Raskhan
    Raskhan was a 16th–17th century Indian poet and devotee of Krishna, renowned for his lyrical Braj Bhasha compositions celebrating bhakti (devotional love).
  • C. Ghatotkacha
    Ghatotkacha is a powerful, magic-wielding rakshasa warrior from the Mahabharata, famed for his crucial role and heroic death in the Kurukshetra War.
  • D. Ilmandu
    Ilmandu is a small village in northern Estonia that forms part of Harku Parish near the capital city, Tallinn.
  • E. Avadis
    Avadis is the given first name of Avie Tevanian, a prominent software engineer known for his key role in developing the Mach kernel and leading software engineering at Apple.
  • 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: Urukrama
Triple: [Vamana, epithet, Urukrama]
Generated description
Urukrama is a revered epithet of the Hindu deity Vamana (an incarnation of Vishnu), highlighting his mighty, far-striding cosmic steps.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Urukrama
Target entity description: Urukrama is a revered epithet of the Hindu deity Vamana (an incarnation of Vishnu), highlighting his mighty, far-striding cosmic steps.
  • A. Umreth
    Umreth is a town in the Anand district of Gujarat, India, known for its agricultural trade and proximity to the region’s dairy industry.
  • B. Raskhan
    Raskhan was a 16th–17th century Indian poet and devotee of Krishna, renowned for his lyrical Braj Bhasha compositions celebrating bhakti (devotional love).
  • C. Ghatotkacha
    Ghatotkacha is a powerful, magic-wielding rakshasa warrior from the Mahabharata, famed for his crucial role and heroic death in the Kurukshetra War.
  • D. Ilmandu
    Ilmandu is a small village in northern Estonia that forms part of Harku Parish near the capital city, Tallinn.
  • E. Avadis
    Avadis is the given first name of Avie Tevanian, a prominent software engineer known for his key role in developing the Mach kernel and leading software engineering at Apple.
  • 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_69c009088f3081909cd467b05919de30 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c06a9a8d8481908d88e5c9f0c773f7 completed March 22, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c653bcb63081908be29abd0084d266 completed March 27, 2026, 9:54 a.m.
NEDg Description generation batch_69c6553c17bc81908719ecc7db9e3960 completed March 27, 2026, 10 a.m.
NED2 Entity disambiguation (via description) batch_69c655f4ee5c81909620e732b72ee694 completed March 27, 2026, 10:03 a.m.
Created at: March 22, 2026, 4:53 p.m.