Triple

T12213195
Position Surface form Disambiguated ID Type / Status
Subject Wajid Ali Shah E291015 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. Ahmad Faraz
    Ahmad Faraz was a renowned Pakistani Urdu poet celebrated for his romantic, progressive, and politically charged poetry.
  • C. Javed Ashraf Qazi
    Javed Ashraf Qazi is a retired Pakistani lieutenant general and politician who has held several key civil and military posts, including leadership roles in intelligence and national security.
  • D. Hafeez Jalandhari
    Hafeez Jalandhari was a Pakistani poet best known for writing the lyrics of Pakistan’s national anthem.
  • E. Mazhar Munir
    Mazhar Munir is a British actor best known for his role in the geopolitical thriller film "Syriana."
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c915f548190b34a743f0a3bb51a completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aa13f64819096dc23295a6f0cdb completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:51 p.m.