Triple

T3040759
Position Surface form Disambiguated ID Type / Status
Subject Murad Mirza E83120 entity
Predicate familyName P18 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: [Murad Mirza, familyName, Mirza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mirza
Context triple: [Murad Mirza, familyName, 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. 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.
  • C. Malek
    Malek is a given name and surname of Arabic origin commonly used across the Middle East and other Muslim-majority regions.
  • D. Ilyas
    Ilyas is the Arabic and Quranic form of the prophet Elijah, revered in Islamic tradition as a righteous messenger of God.
  • E. Quddus
    Quddus is a television personality best known as one of the prominent hosts of MTV’s music video countdown show "Total Request Live" in the early 2000s.
  • 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_69ad8b2298908190a7cb4e9bdbf064d0 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9b59fea8819091796e30812df9c5 completed March 8, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ded01a1481908be7d44c2bf4e638 completed March 11, 2026, 9:29 p.m.
Created at: March 8, 2026, 3:01 p.m.