Triple

T15082582
Position Surface form Disambiguated ID Type / Status
Subject Mahmud Mirza E360186 entity
Predicate givenName P17 FINISHED
Object Mahmud E439438 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: Mahmud | Statement: [Mahmud Mirza, givenName, Mahmud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mahmud
Context triple: [Mahmud Mirza, givenName, Mahmud]
  • A. Mahmud chosen
    Mahmud is a masculine given name of Arabic origin commonly used in various Muslim-majority cultures.
  • B. Mahmud Kati
    Mahmud Kati was a prominent West African Muslim scholar and historian, best known as one of the authors associated with the Timbuktu chronicle Tarikh al-Fattash.
  • C. Sultan Mahmud
    Sultan Mahmud was an Ottoman naval vessel that took part in the 1827 Battle of Navarino during the Greek War of Independence.
  • D. Al Mahmud
    Al Mahmud was a prominent Bangladeshi poet and novelist renowned for his modernist style and powerful depictions of rural life, nationalism, and the Liberation War in Bengali literature.
  • E. Mahmud Khan
    Mahmud Khan was a Central Asian ruler and member of the Chagatai-Moghul royal lineage who governed parts of Moghulistan in the late 15th century.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0027450a48190a84588b6aaf84ebf completed April 15, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed31fa31c8190a22a27f5572e4334 completed May 9, 2026, 6:24 a.m.
Created at: April 10, 2026, 3:03 a.m.