Triple

T22417331
Position Surface form Disambiguated ID Type / Status
Subject Vyasaraja E554155 entity
Predicate isGuruOf P22248 FINISHED
Object Kanaka Dasa NE NERFINISHED

How this triple was built (2 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: Kanaka Dasa | Statement: [Vyasaraja, isGuruOf, Kanaka Dasa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kanaka Dasa
Context triple: [Vyasaraja, isGuruOf, Kanaka Dasa]
  • A. Kanaka Dasa chosen
    Kanaka Dasa was a 16th-century Kannada poet-saint, composer, and social reformer of the Bhakti movement, renowned for his devotional songs and advocacy of equality.
  • B. Kanakaredes
    Kanakaredes is the surname of American actress Melina Kanakaredes, known for her roles on television series such as "CSI: NY" and "Providence."
  • C. Sankar
    Sankar is a common Indian given name and surname, often associated with Hindu cultural and religious traditions.
  • D. Bhutacha Bhau
    Bhutacha Bhau is a popular Marathi comedy film featuring veteran actor Ashok Saraf in a leading role.
  • E. Rukmangada
    Rukmangada is a relatively obscure figure in Hindu mythology, known primarily as a son of the sage Jamadagni.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4e6ce8819085a1e06d886bf21c completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15947dcc08190a584636f87669316 completed April 29, 2026, 1:05 a.m.
Created at: April 16, 2026, 8:46 p.m.