Triple

T19540152
Position Surface form Disambiguated ID Type / Status
Subject Murad V E488875 entity
Predicate spouse P13 FINISHED
Object Hüsnüziya Hanım
Hüsnüziya Hanım was a consort of Ottoman Sultan Murad V and a member of the Ottoman imperial harem in the late 19th century.
 E1398846 NE FINISHED

How this triple was built (4 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: Hüsnüziya Hanım | Statement: [Murad V, spouse, Hüsnüziya Hanım]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hüsnüziya Hanım
Context triple: [Murad V, spouse, Hüsnüziya Hanım]
  • A. Hüsnüyar Hanım
    Hüsnüyar Hanım was a consort of Ottoman Sultan Murad V and a member of the late Ottoman imperial harem.
  • B. Hüsnücemal Hanım
    Hüsnücemal Hanım was a consort of Ottoman Sultan Murad V and a member of the late Ottoman imperial harem.
  • C. Hüsnüfer Hanım
    Hüsnüfer Hanım was a consort of Ottoman Sultan Murad V and a member of the late Ottoman imperial harem.
  • D. Hüsnümahşan Hanım
    Hüsnümahşan Hanım was one of the consorts of Ottoman Sultan Murad V, belonging to the imperial harem during the late 19th century.
  • E. Nâzıme Hanım
    Nâzıme Hanım was the wife of prominent Ottoman-Turkish poet Tevfik Fikret and a member of an influential late Ottoman intellectual family.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Hüsnüziya Hanım
Triple: [Murad V, spouse, Hüsnüziya Hanım]
Generated description
Hüsnüziya Hanım was a consort of Ottoman Sultan Murad V and a member of the Ottoman imperial harem in the late 19th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hüsnüziya Hanım
Target entity description: Hüsnüziya Hanım was a consort of Ottoman Sultan Murad V and a member of the Ottoman imperial harem in the late 19th century.
  • A. Hüsnüyar Hanım
    Hüsnüyar Hanım was a consort of Ottoman Sultan Murad V and a member of the late Ottoman imperial harem.
  • B. Hüsnücemal Hanım
    Hüsnücemal Hanım was a consort of Ottoman Sultan Murad V and a member of the late Ottoman imperial harem.
  • C. Hüsnüfer Hanım
    Hüsnüfer Hanım was a consort of Ottoman Sultan Murad V and a member of the late Ottoman imperial harem.
  • D. Hüsnümahşan Hanım
    Hüsnümahşan Hanım was one of the consorts of Ottoman Sultan Murad V, belonging to the imperial harem during the late 19th century.
  • E. Nâzıme Hanım
    Nâzıme Hanım was the wife of prominent Ottoman-Turkish poet Tevfik Fikret and a member of an influential late Ottoman intellectual family.
  • F. None of above. chosen

Provenance (5 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63871d00881909ed7371ae5577957 completed April 20, 2026, 2:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07d423f0548190946e7ca67d492efc completed May 16, 2026, 2:19 a.m.
NEDg Description generation batch_6a07d6ca396881908a56231d92d3a027 completed May 16, 2026, 2:30 a.m.
NED2 Entity disambiguation (via description) batch_6a07d789da048190886707569b343973 completed May 16, 2026, 2:33 a.m.
Created at: April 10, 2026, 1:41 p.m.