Triple

T22663261
Position Surface form Disambiguated ID Type / Status
Subject Asha Bhosle E559717 entity
Predicate birthName P65 FINISHED
Object Asha Mangeshkar 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: Asha Mangeshkar | Statement: [Asha Bhosle, birthName, Asha Mangeshkar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Asha Mangeshkar
Context triple: [Asha Bhosle, birthName, Asha Mangeshkar]
  • A. Shevanti Mangeshkar
    Shevanti Mangeshkar was the mother of legendary Indian playback singer Lata Mangeshkar and a member of the prominent Mangeshkar musical family.
  • 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. 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.
  • D. Geeta Dutt
    Geeta Dutt was a celebrated Indian playback singer of the 1940s–1960s, renowned for her expressive, melodious voice in Hindi and Bengali film music.
  • E. 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.
  • 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_69e2454a158c819093b8e35f5045efb6 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f17660c0c88190bed9fa8f6517eec4 completed April 29, 2026, 3:09 a.m.
Created at: April 17, 2026, 3:08 p.m.