Triple

T377352
Position Surface form Disambiguated ID Type / Status
Subject Kannada E8600 entity
Predicate hasNotablePoet P4290 FINISHED
Object Ranna
Ranna was a prominent 10th-century Kannada poet, celebrated as one of the “three gems” of early Kannada literature for his influential epic and courtly works.
E53438 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: Ranna | Statement: [Kannada, hasNotablePoet, Ranna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ranna
Context triple: [Kannada, hasNotablePoet, Ranna]
  • A. Rana
    Rana was the hereditary royal title borne by the ruling dynasty of the former princely state of Porbandar in western India.
  • B. Chersina
    Chersina is a genus of tortoises in the family Testudinidae, best known for the South African species Chersina angulata, commonly called the angulate tortoise.
  • C. Terevaka
    Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
  • D. Runashimi
    Runashimi is the Indigenous Kichwa (Quechua) language spoken primarily in the Andean regions of South America.
  • E. Kaw
    The Kaw, also known as the Kansa, are a Native American tribe originally from the central Midwestern United States, particularly the region that is now Kansas.
  • 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: Ranna
Triple: [Kannada, hasNotablePoet, Ranna]
Generated description
Ranna was a prominent 10th-century Kannada poet, celebrated as one of the “three gems” of early Kannada literature for his influential epic and courtly works.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ranna
Target entity description: Ranna was a prominent 10th-century Kannada poet, celebrated as one of the “three gems” of early Kannada literature for his influential epic and courtly works.
  • A. Rana
    Rana was the hereditary royal title borne by the ruling dynasty of the former princely state of Porbandar in western India.
  • B. Chersina
    Chersina is a genus of tortoises in the family Testudinidae, best known for the South African species Chersina angulata, commonly called the angulate tortoise.
  • C. Terevaka
    Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
  • D. Runashimi
    Runashimi is the Indigenous Kichwa (Quechua) language spoken primarily in the Andean regions of South America.
  • E. Kaw
    The Kaw, also known as the Kansa, are a Native American tribe originally from the central Midwestern United States, particularly the region that is now Kansas.
  • 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_69a2e7f47dd08190a4e294ccbbe46cd4 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ec1804108190a1e94526b71289ea completed Feb. 28, 2026, 1:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4253ec4d48190bdaaf385c9a8e4a9 completed March 1, 2026, 11:38 a.m.
NEDg Description generation batch_69a42919a09c819094b41c333bb1aa2e completed March 1, 2026, 11:55 a.m.
NED2 Entity disambiguation (via description) batch_69a4296cb3f48190b56227620ce5ce59 completed March 1, 2026, 11:56 a.m.
Created at: Feb. 28, 2026, 1:08 p.m.