Triple

T6214138
Position Surface form Disambiguated ID Type / Status
Subject Shreya Ghoshal E138941 entity
Predicate influencedBy P9 FINISHED
Object Asha Bhosle E132894 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: Asha Bhosle | Statement: [Shreya Ghoshal, influencedBy, Asha Bhosle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asha Bhosle
Context triple: [Shreya Ghoshal, influencedBy, Asha Bhosle]
  • A. Asha Bhosle chosen
    Asha Bhosle is a legendary Indian playback singer renowned for her versatile voice and vast repertoire across numerous film and non-film songs in multiple languages.
  • B. Lata Mangeshkar
    Lata Mangeshkar was a legendary Indian playback singer whose career spanned over seven decades and who became one of the most recorded and revered voices in the history of Indian music.
  • C. Shevanti Mangeshkar
    Shevanti Mangeshkar was the mother of legendary Indian playback singer Lata Mangeshkar and a member of the prominent Mangeshkar musical family.
  • D. Usha Mangeshkar
    Usha Mangeshkar is an Indian playback singer known for her work in Hindi and regional film music and for being part of the renowned Mangeshkar musical family.
  • E. Udit Narayan
    Udit Narayan is a renowned Indian playback singer celebrated for his melodious voice and numerous hit songs in Bollywood films since the 1980s.
  • 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_69c008ada364819096c9e92c74d639b5 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0629fd3c08190a121097c188417c4 completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8d66fdb1c81909ca125e5918b0997 completed March 29, 2026, 7:36 a.m.
Created at: March 22, 2026, 4:21 p.m.