Triple

T2221709
Position Surface form Disambiguated ID Type / Status
Subject S. L. Bhyrappa E48154 entity
Predicate notableWork P4 FINISHED
Object Mandra
Mandra is a renowned Kannada novel by S. L. Bhyrappa that explores the world of classical music alongside complex human emotions and relationships.
E246237 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: Mandra | Statement: [S. L. Bhyrappa, notableWork, Mandra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mandra
Context triple: [S. L. Bhyrappa, notableWork, Mandra]
  • A. Menetes
    Menetes is a genus of rodents in the squirrel family, comprising ground-dwelling squirrels native to parts of Asia.
  • B. Kadmat
    Kadmat is a coral island in India’s Lakshadweep archipelago, known for its white-sand beaches, clear lagoons, and vibrant marine life that make it a popular destination for snorkeling and diving.
  • C. Sancaktepe
    Sancaktepe is a rapidly developing residential district located on the Asian side of Istanbul, Turkey.
  • D. Termessos
    Termessos is an ancient Pisidian city in southwestern Turkey, renowned for its well-preserved ruins dramatically set high in the Taurus Mountains within a national park.
  • E. Mauregard
    Mauregard is a small commune in the Seine-et-Marne department of the Île-de-France region in north-central France, situated near Paris Charles de Gaulle Airport.
  • 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: Mandra
Triple: [S. L. Bhyrappa, notableWork, Mandra]
Generated description
Mandra is a renowned Kannada novel by S. L. Bhyrappa that explores the world of classical music alongside complex human emotions and relationships.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mandra
Target entity description: Mandra is a renowned Kannada novel by S. L. Bhyrappa that explores the world of classical music alongside complex human emotions and relationships.
  • A. Menetes
    Menetes is a genus of rodents in the squirrel family, comprising ground-dwelling squirrels native to parts of Asia.
  • B. Kadmat
    Kadmat is a coral island in India’s Lakshadweep archipelago, known for its white-sand beaches, clear lagoons, and vibrant marine life that make it a popular destination for snorkeling and diving.
  • C. Sancaktepe
    Sancaktepe is a rapidly developing residential district located on the Asian side of Istanbul, Turkey.
  • D. Termessos
    Termessos is an ancient Pisidian city in southwestern Turkey, renowned for its well-preserved ruins dramatically set high in the Taurus Mountains within a national park.
  • E. Mauregard
    Mauregard is a small commune in the Seine-et-Marne department of the Île-de-France region in north-central France, situated near Paris Charles de Gaulle Airport.
  • 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_69a88aa1ee708190862c8c378c41e9eb completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc03bfdd48190bfb96ec3e41c22dc completed March 7, 2026, 6:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae65605fa481908ac5b9d837600626 completed March 9, 2026, 6:14 a.m.
NEDg Description generation batch_69ae669aa29c81909770cd69d27c274c completed March 9, 2026, 6:20 a.m.
NED2 Entity disambiguation (via description) batch_69ae66fb7f1c8190b2bc306f06c423f1 completed March 9, 2026, 6:21 a.m.
Created at: March 4, 2026, 7:47 p.m.