Triple

T20751883
Position Surface form Disambiguated ID Type / Status
Subject Chitra E510741 entity
Predicate character P662 FINISHED
Object Vasanta 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: Vasanta | Statement: [Chitra, character, Vasanta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vasanta
Context triple: [Chitra, character, Vasanta]
  • A. Vasanta chosen
    Vasanta is the spring season in the Hindu lunisolar calendar, associated with renewal, blossoming nature, and numerous traditional festivals.
  • B. Gauranga
    Gauranga is a revered name of Chaitanya Mahaprabhu, the 16th-century Bengali saint and key figure in Gaudiya Vaishnavism known for promoting congregational chanting of Krishna’s names.
  • C. Suniti
    Suniti was a daughter of the prominent Indian freedom fighter and political leader Chittaranjan Das.
  • D. Vrishni
    Vrishni was a prominent clan within the ancient Yadava lineage of India, traditionally associated with Lord Krishna and centered around the region of Mathura and Dvaraka.
  • E. Bhamati
    Bhamati is a foundational commentary on Adi Shankaracharya’s Brahma Sutras that became a key text of the Advaita Vedanta tradition.
  • 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_69e0b4c909ec8190b05987f1639513f6 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c22ad0c8819087a8db2bac8dd408 completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:34 p.m.