Triple

T8379526
Position Surface form Disambiguated ID Type / Status
Subject Mirza Asadullah Baig Khan E197654 entity
Predicate honorific P301 FINISHED
Object Mirza E68477 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: Mirza | Statement: [Mirza Asadullah Baig Khan, honorific, Mirza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mirza
Context triple: [Mirza Asadullah Baig Khan, honorific, Mirza]
  • A. Mirza chosen
    Mirza is a historical noble title of Persian and Central Asian origin, commonly borne by princes and high-ranking members of royal and aristocratic families.
  • B. Shahzada
    Shahzada is a royal title used in Persianate and South Asian cultures to denote a prince or son of a monarch.
  • C. Mirza Khazar
    Mirza Khazar is a prominent Azerbaijani-American journalist, translator, and broadcaster best known for his influential work with Radio Free Europe/Radio Liberty and his modern Azerbaijani translation of the Bible.
  • D. Malek
    Malek is a given name and surname of Arabic origin commonly used across the Middle East and other Muslim-majority regions.
  • E. Cassim
    Cassim is Ali Baba’s wealthy but greedy older brother in the classic Middle Eastern folk tale "Ali Baba and the Forty Thieves."
  • 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_69ca82f64c188190af4e1608036b865d completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80c3dc1881908081c6a2829deb5a completed March 31, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce02b4d840819090a0eaadaff9c9f9 completed April 2, 2026, 5:46 a.m.
Created at: March 30, 2026, 6:02 p.m.