Triple

T1269955
Position Surface form Disambiguated ID Type / Status
Subject Shah Jahan E15686 entity
Predicate birthName P65 FINISHED
Object Khurram E73123 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: Khurram | Statement: [Shah Jahan, birthName, Khurram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khurram
Context triple: [Shah Jahan, birthName, Khurram]
  • A. Khurram chosen
    Khurram, better known as the Mughal emperor Shah Jahan, was the ruler of the Mughal Empire famed for commissioning the Taj Mahal.
  • B. Shah Nawaz Khan
    Shah Nawaz Khan was an Indian freedom fighter and military officer best known for his leadership role in the Indian National Army and his subsequent prominence in post-independence Indian public life.
  • C. Fayyazuddin
    Fayyazuddin is a Pakistani theoretical physicist known for his contributions to particle physics and for being a prominent student and collaborator of Nobel laureate Abdus Salam.
  • D. Khan Abdul Jabbar Khan
    Khan Abdul Jabbar Khan was a prominent Pashtun political leader and the first Chief Minister of the North-West Frontier Province (now Khyber Pakhtunkhwa) in Pakistan after independence.
  • E. Zafar
    Zafar was the pen name of Bahadur Shah II, the last Mughal emperor of India and a noted Urdu poet.
  • 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_69a4935a94308190bb92555b79032824 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4c0691d70819088e57c78ff34af1e completed March 1, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac998b819c8190ad5a4095d31b5cb1 completed March 7, 2026, 9:32 p.m.
Created at: March 1, 2026, 7:50 p.m.