Triple

T20351588
Position Surface form Disambiguated ID Type / Status
Subject Aandhi E496023 entity
Predicate playbackSinger P44280 FINISHED
Object Kishore Kumar 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: Kishore Kumar | Statement: [Aandhi, playbackSinger, Kishore Kumar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kishore Kumar
Context triple: [Aandhi, playbackSinger, Kishore Kumar]
  • A. Kishore Kumar chosen
    Kishore Kumar was a legendary Indian playback singer, actor, and music composer renowned for his versatile voice and iconic songs in Hindi cinema.
  • B. 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.
  • C. Mohammed Rafi
    Mohammed Rafi was a legendary Indian playback singer renowned for his extraordinary vocal range and versatility, who became one of the most iconic voices in Hindi cinema.
  • D. Mangeshkar
    Mangeshkar is a prominent Indian family name most famously associated with legendary playback singers such as Lata Mangeshkar and Asha Bhosle.
  • E. Talat Mahmood
    Talat Mahmood was a renowned Indian playback singer and ghazal vocalist, celebrated for his velvety voice and soulful, romantic songs in mid-20th-century Hindi cinema.
  • 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_69e0b4a3f7f48190b37f354574028ca6 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6784f8ff48190a070888786f6a989 completed April 20, 2026, 7:02 p.m.
Created at: April 16, 2026, 11:24 a.m.