Triple

T3465441
Position Surface form Disambiguated ID Type / Status
Subject Parviz Mirza E73124 entity
Predicate title P38 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: [Parviz Mirza, title, Mirza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mirza
Context triple: [Parviz Mirza, title, 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. Muhammad Miranshah
    Muhammad Miranshah was a Timurid prince and son of Abu Sa'id Mirza who played a role in the dynastic politics of Central Asia in the 15th century.
  • E. Fazl
    Fazl is the given name of Fazl-e-Haq Khairabadi, a 19th-century Indian Islamic scholar, philosopher, and prominent figure in the Indian Rebellion of 1857.
  • 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_69ad85b224d481908ff8be51338d24ff completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adbb0f2d3881908a5fa871341564ed completed March 8, 2026, 6:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e5c1f008190b1351e3d3e53fc11 completed March 13, 2026, 3:02 a.m.
Created at: March 8, 2026, 3:17 p.m.