Triple

T22149106
Position Surface form Disambiguated ID Type / Status
Subject Dil Apna Aur Preet Parai E547366 entity
Predicate lyricist P1360 FINISHED
Object Hasrat Jaipuri 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: Hasrat Jaipuri | Statement: [Dil Apna Aur Preet Parai, lyricist, Hasrat Jaipuri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hasrat Jaipuri
Context triple: [Dil Apna Aur Preet Parai, lyricist, Hasrat Jaipuri]
  • A. Hasrat Jaipuri chosen
    Hasrat Jaipuri was a prominent Indian Urdu-Hindi film lyricist and poet best known for his work in classic Bollywood cinema from the 1950s to the 1970s.
  • B. Feroz Nizami
    Feroz Nizami was a prominent South Asian music director and composer known for his influential work in early Pakistani and Indian cinema.
  • C. Muhammad Qasim Nanautavi
    Muhammad Qasim Nanautavi was a 19th-century Indian Islamic scholar and reformer best known for establishing the Darul Uloom Deoband seminary, which became the intellectual center of the Deobandi movement.
  • D. Jan Nisar Akhtar
    Jan Nisar Akhtar was a renowned Indian Urdu poet and lyricist associated with the Progressive Writers' Movement and celebrated for his evocative ghazals and film songs.
  • E. Mirza Sahiban
    Mirza Sahiban is a classic Punjabi tragic love story and folk romance that has been retold in poetry, song, and literature across generations.
  • 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_69e11e3b52088190ad5df386d01eb2fb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129f2c0e881909c3488bb5eb5959d completed April 28, 2026, 9:43 p.m.
Created at: April 16, 2026, 8:33 p.m.