Triple

T21202766
Position Surface form Disambiguated ID Type / Status
Subject Raseedi Ticket E522498 entity
Predicate author P4 FINISHED
Object Amrita Pritam 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: Amrita Pritam | Statement: [Raseedi Ticket, author, Amrita Pritam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amrita Pritam
Context triple: [Raseedi Ticket, author, Amrita Pritam]
  • A. Amrita Pritam chosen
    Amrita Pritam was a pioneering Indian Punjabi poet and novelist, celebrated for her powerful feminist voice and poignant writings on love, partition, and social justice.
  • B. Aruna Batalvi
    Aruna Batalvi was the wife of renowned Punjabi poet Shiv Kumar Batalvi and a significant figure in his personal life and legacy.
  • C. Jeet-Pritam
    Jeet-Pritam is an Indian music composer duo known for creating film soundtracks in Bollywood cinema.
  • D. Shiv Kumar Batalvi
    Shiv Kumar Batalvi was a celebrated Punjabi poet renowned for his deeply emotional, romantic, and tragic verse that left a lasting impact on modern Punjabi literature.
  • E. Qurratulain Hyder
    Qurratulain Hyder was a pioneering Indian Urdu novelist and short story writer, best known for her magnum opus "Aag Ka Darya" ("River of Fire"), which revolutionized modern Urdu literature.
  • 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_69e0b5112d8881909510b2dcdc93106d completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73432a2b88190a89e636626d40c9b completed April 21, 2026, 8:24 a.m.
Created at: April 16, 2026, 3:19 p.m.