Triple

T2585400
Position Surface form Disambiguated ID Type / Status
Subject Wajid Ali Shah E57186 entity
Predicate father P120 FINISHED
Object Amjad Ali Shah E276037 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: Amjad Ali Shah | Statement: [Wajid Ali Shah, father, Amjad Ali Shah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amjad Ali Shah
Context triple: [Wajid Ali Shah, father, Amjad Ali Shah]
  • A. Amjad Ali Shah chosen
    Amjad Ali Shah was the fourth Nawab of Awadh, known for his architectural patronage and contributions to Lucknow’s religious and cultural landscape.
  • B. Hafeez Jalandhari
    Hafeez Jalandhari was a Pakistani poet best known for writing the lyrics of Pakistan’s national anthem.
  • C. Mazhar Munir
    Mazhar Munir is a British actor best known for his role in the geopolitical thriller film "Syriana."
  • D. Zaved Mahmood
    Zaved Mahmood is a Bangladeshi-born human rights lawyer and activist, known for his work with the United Nations and as the husband of British novelist Philip Hensher.
  • E. Ghulam Mustafa Tabassum
    Ghulam Mustafa Tabassum was a prominent Pakistani poet and writer known for his influential contributions to Punjabi and Urdu literature, especially children’s poetry.
  • 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_69ab4a4dca6481908c301f8e317396e7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd3cd07588190b3cb8cc348f12938 completed March 7, 2026, 7:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69af907510d481909e7c5e5207d17774 completed March 10, 2026, 3:31 a.m.
Created at: March 6, 2026, 9:49 p.m.