Triple

T6295653
Position Surface form Disambiguated ID Type / Status
Subject Kusumagraj E141124 entity
Predicate notableWork P4 FINISHED
Object Vishakha E129824 NE FINISHED

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: Vishakha | Statement: [Kusumagraj, notableWork, Vishakha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vishakha
Context triple: [Kusumagraj, notableWork, Vishakha]
  • A. Vishakha
    Vishakha is one of the principal gopis in Hindu devotional tradition, revered as a close companion and intimate devotee of Lord Krishna and Radha.
  • B. Vishakha chosen
    Vishakha is a celebrated Marathi poetry collection by Vishnu Vaman Shirwadkar (Kusumagraj), renowned for its lyrical depth and humanistic themes.
  • C. Mamta
    Mamta is a classic 1966 Hindi drama film starring Suchitra Sen, known for its emotional story of sacrifice and maternal love.
  • D. Madhavi
    Madhavi is a celebrated courtesan and pivotal literary figure in ancient Tamil epic tradition, prominently featured in the Sangam-era works Silappatikaram and its sequel Manimekalai.
  • E. Aditi
    Aditi is a Vedic mother goddess in Hindu mythology, revered as the personification of boundlessness and the mother of many deities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c008cdf2ac8190bb640c94478fb4ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c06439a6908190b0a8ebf426d3ca02 completed March 22, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c51988f1388190b36212b0d9756863 completed March 26, 2026, 11:33 a.m.
Created at: March 22, 2026, 4:27 p.m.