Triple

T1745544
Position Surface form Disambiguated ID Type / Status
Subject Mirza Ghalib E38327 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 Ghalib, honorific, Mirza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mirza
Context triple: [Mirza Ghalib, 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. Ilyas
    Ilyas is the Arabic and Quranic form of the prophet Elijah, revered in Islamic tradition as a righteous messenger of God.
  • C. Mir Jafar
    Mir Jafar was an 18th-century Nawab of Bengal best known for his alliance with the British East India Company, which helped establish British colonial rule in India.
  • D. Zafar
    Zafar was the pen name of Bahadur Shah II, the last Mughal emperor of India and a noted Urdu poet.
  • E. Hussain Kirsha
    Hussain Kirsha is a character in Naguib Mahfouz’s novel "Midaq Alley," known as the son of a café owner whose ambitions and moral compromises reflect the social changes in mid-20th-century Cairo.
  • 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63e93f3481909f61d581f7a5bdfa completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69adbf4ba8fc81909b538168a4403330 completed March 8, 2026, 6:26 p.m.
Created at: March 4, 2026, 7:31 p.m.