Triple

T2400710
Position Surface form Disambiguated ID Type / Status
Subject U. R. Ananthamurthy E47759 entity
Predicate notableWork P4 FINISHED
Object Bhava
Bhava is a Kannada novel by acclaimed Indian writer U. R. Ananthamurthy that explores complex themes of identity, tradition, and modernity.
 E262796 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: Bhava | Statement: [U. R. Ananthamurthy, notableWork, Bhava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bhava
Context triple: [U. R. Ananthamurthy, notableWork, Bhava]
  • A. Saravanabhava
    Saravanabhava is an epithet of the Hindu god Kartikeya (Murugan), highlighting his mythological birth in the reeds of the Saravana lake.
  • B. Buddhi
    Buddhi is a personification of intellect and wisdom in Hindu tradition, revered as one of the spiritual qualities or consorts associated with the deity Ganesha.
  • C. Videha
    Videha was an ancient Indo-Aryan kingdom in the eastern Indian subcontinent, centered in the Mithila region and known from Vedic and later religious traditions.
  • D. Vaisesika
    Vaisesika is one of the six classical schools of Indian philosophy, known for its atomistic metaphysics and detailed categorization of reality.
  • E. Kesava
    Kesava is a revered epithet of the Hindu god Vishnu, highlighting him as the slayer of the demon Keshi and the one with beautiful, luxuriant hair.
  • 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: Bhava
Triple: [U. R. Ananthamurthy, notableWork, Bhava]
Generated description
Bhava is a Kannada novel by acclaimed Indian writer U. R. Ananthamurthy that explores complex themes of identity, tradition, and modernity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bhava
Target entity description: Bhava is a Kannada novel by acclaimed Indian writer U. R. Ananthamurthy that explores complex themes of identity, tradition, and modernity.
  • A. Saravanabhava
    Saravanabhava is an epithet of the Hindu god Kartikeya (Murugan), highlighting his mythological birth in the reeds of the Saravana lake.
  • B. Buddhi
    Buddhi is a personification of intellect and wisdom in Hindu tradition, revered as one of the spiritual qualities or consorts associated with the deity Ganesha.
  • C. Videha
    Videha was an ancient Indo-Aryan kingdom in the eastern Indian subcontinent, centered in the Mithila region and known from Vedic and later religious traditions.
  • D. Vaisesika
    Vaisesika is one of the six classical schools of Indian philosophy, known for its atomistic metaphysics and detailed categorization of reality.
  • E. Kesava
    Kesava is a revered epithet of the Hindu god Vishnu, highlighting him as the slayer of the demon Keshi and the one with beautiful, luxuriant hair.
  • 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_69a88a1c450c81909f61abb8b6863885 completed March 4, 2026, 7:38 p.m.
NER Named-entity recognition batch_69abc8caf12c8190b1482b9bc7bf9606 completed March 7, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3e319c481908537fe278f6f0a67 completed March 9, 2026, 11:49 a.m.
NEDg Description generation batch_69aeb4b942b08190addc2885fbda0e41 completed March 9, 2026, 11:53 a.m.
NED2 Entity disambiguation (via description) batch_69aeb557247c8190920ce3a5db388800 completed March 9, 2026, 11:56 a.m.
Created at: March 4, 2026, 7:57 p.m.