Triple

T5178554
Position Surface form Disambiguated ID Type / Status
Subject Ashfaqulla Khan E116859 entity
Predicate alsoKnownAs P39 FINISHED
Object Ashfaqullah Khan E116859 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: Ashfaqullah Khan | Statement: [Ashfaqulla Khan, alsoKnownAs, Ashfaqullah Khan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ashfaqullah Khan
Context triple: [Ashfaqulla Khan, alsoKnownAs, Ashfaqullah Khan]
  • A. Ashfaqulla Khan chosen
    Ashfaqulla Khan was an Indian revolutionary and freedom fighter who played a key role in the anti-colonial struggle against British rule in the early 20th century.
  • B. Zahir Raihan
    Zahir Raihan was a prominent Bangladeshi filmmaker, novelist, and political activist known for his pioneering work in Bengali cinema and his disappearance during the Bangladesh Liberation War.
  • C. Mohammad Ali Jauhar
    Mohammad Ali Jauhar was an Indian Muslim leader, journalist, and prominent Khilafat and Indian independence movement activist in the early 20th century.
  • D. Abdus Samad
    Abdus Samad was a prominent Mughal-era painter known for helping shape the early imperial painting style at the courts of the Mughal emperors.
  • E. Mahat M. Ali
    Mahat M. Ali is an actor best known for his role in the 2013 biographical thriller film "Captain Phillips."
  • 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_69bd446140f08190becb93c61158f27f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7976339481909ece900de22064f2 completed March 20, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef7f6b98c8190bbc4f123560d32f4 completed March 21, 2026, 7:56 p.m.
Created at: March 20, 2026, 1:45 p.m.