Triple

T11065509
Position Surface form Disambiguated ID Type / Status
Subject Mahmud Pasha Angelović E261612 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 Pasha Angelović, givenName, Mahmud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mahmud
Context triple: [Mahmud Pasha Angelović, givenName, Mahmud]
  • A. Mahmud chosen
    Mahmud is a masculine given name of Arabic origin commonly used in various Muslim-majority cultures.
  • B. Sultan Mahmud
    Sultan Mahmud was an Ottoman naval vessel that took part in the 1827 Battle of Navarino during the Greek War of Independence.
  • C. 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.
  • D. Mahmud Celaleddin
    Mahmud Celaleddin was a distinguished Ottoman calligrapher renowned for his refined script and influential contributions to Islamic calligraphic art.
  • E. Ala al-Din Husayn
    Ala al-Din Husayn was a 12th-century Ghurid ruler in present-day Afghanistan who significantly expanded his dynasty’s power and laid the foundations for its later prominence in the Islamic world.
  • 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_69d6aa98650481908609c7c56bfa7902 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7991f84488190a974d1744a62798d completed April 9, 2026, 12:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69e441a5b5a481908a6fdf5f8e9bca8b completed April 19, 2026, 2:44 a.m.
Created at: April 8, 2026, 9:26 p.m.