Triple

T21202810
Position Surface form Disambiguated ID Type / Status
Subject Sahir Ludhianvi E522499 entity
Predicate pseudonym P39 FINISHED
Object Sahir Ludhianvi 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: Sahir Ludhianvi | Statement: [Sahir Ludhianvi, pseudonym, Sahir Ludhianvi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sahir Ludhianvi
Context triple: [Sahir Ludhianvi, pseudonym, Sahir Ludhianvi]
  • A. Sahir Ludhianvi chosen
    Sahir Ludhianvi was a renowned Indian Urdu poet and Hindi film lyricist known for his progressive, socially conscious verse and iconic songs in classic Bollywood cinema.
  • B. 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.
  • C. 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.
  • D. Aftab Iqbal
    Aftab Iqbal was the son of the renowned philosopher-poet Allama Muhammad Iqbal and a Pakistani academic and literary figure in his own right.
  • E. Shazad Latif
    Shazad Latif is a British actor best known for his role as Ash Tyler in the television series "Star Trek: Discovery."
  • 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.