Triple

T2400709
Position Surface form Disambiguated ID Type / Status
Subject U. R. Ananthamurthy E47759 entity
Predicate notableWork P4 FINISHED
Object Avasthe
Avasthe is a landmark Kannada novel by U. R. Ananthamurthy that explores political power, moral ambiguity, and social change in post-independence India.
 E262795 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: Avasthe | Statement: [U. R. Ananthamurthy, notableWork, Avasthe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Avasthe
Context triple: [U. R. Ananthamurthy, notableWork, Avasthe]
  • A. Avsola
    Avsola is a biosimilar monoclonal antibody to infliximab used to treat various autoimmune inflammatory conditions.
  • B. Vasi-weri
    Vasi-weri is an alternative name for the Prasun language, an Indo-Iranian language spoken in parts of Afghanistan.
  • C. Ashti
    Ashti is a town in the Wardha district of Maharashtra, India, known primarily as a local administrative and agricultural center.
  • D. Atossa
    Atossa was a prominent Achaemenid Persian queen, daughter of Cyrus the Great and later wife of Darius I, who played a significant role in the early Persian Empire.
  • E. Atsi
    Atsi is a regional dialect of the Fang language spoken by Fang communities in Central Africa.
  • 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: Avasthe
Triple: [U. R. Ananthamurthy, notableWork, Avasthe]
Generated description
Avasthe is a landmark Kannada novel by U. R. Ananthamurthy that explores political power, moral ambiguity, and social change in post-independence India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Avasthe
Target entity description: Avasthe is a landmark Kannada novel by U. R. Ananthamurthy that explores political power, moral ambiguity, and social change in post-independence India.
  • A. Avsola
    Avsola is a biosimilar monoclonal antibody to infliximab used to treat various autoimmune inflammatory conditions.
  • B. Vasi-weri
    Vasi-weri is an alternative name for the Prasun language, an Indo-Iranian language spoken in parts of Afghanistan.
  • C. Ashti
    Ashti is a town in the Wardha district of Maharashtra, India, known primarily as a local administrative and agricultural center.
  • D. Atossa
    Atossa was a prominent Achaemenid Persian queen, daughter of Cyrus the Great and later wife of Darius I, who played a significant role in the early Persian Empire.
  • E. Atsi
    Atsi is a regional dialect of the Fang language spoken by Fang communities in Central Africa.
  • 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.