Triple

T5737978
Position Surface form Disambiguated ID Type / Status
Subject Lata Mangeshkar E126544 entity
Predicate notableWork P4 FINISHED
Object Lag Jaa Gale E126546 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: Lag Jaa Gale | Statement: [Lata Mangeshkar, notableWork, Lag Jaa Gale]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lag Jaa Gale
Context triple: [Lata Mangeshkar, notableWork, Lag Jaa Gale]
  • A. Lag Jaa Gale chosen
    "Lag Jaa Gale" is a classic Hindi film song, renowned for its haunting melody and emotional depth, sung by legendary playback singer Lata Mangeshkar.
  • B. Jaiye Jaiye
    "Jaiye Jaiye" is a popular Afrobeat song by Nigerian artist Wizkid, known for its fusion of contemporary Afropop with traditional Yoruba musical elements.
  • C. Gol Gol
    Gol Gol is a small town in southwestern New South Wales, Australia, situated on the Murray River near Mildura in the Sunraysia agricultural region.
  • D. Deep Jwele Jaai
    Deep Jwele Jaai is a classic Bengali film renowned for Suchitra Sen’s powerful performance as a nurse whose emotional involvement with patients leads to personal tragedy.
  • E. Gun Gaauli Ani Mee
    "Gun Gaauli Ani Mee" is a popular Marathi literary work by humorist and writer P. L. Deshpande, known for its witty, reflective, and character-rich storytelling.
  • 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_69c0083082288190b7478cead6b5430a completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0255c8c308190821f968ec41c5078 completed March 22, 2026, 5:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c07e10e4d08190bfb8162d53cfb443 completed March 22, 2026, 11:41 p.m.
Created at: March 22, 2026, 3:47 p.m.