Triple

T19540145
Position Surface form Disambiguated ID Type / Status
Subject Murad V E488875 entity
Predicate spouse P13 FINISHED
Object Filizten Hanım
Filizten Hanım was a consort of Ottoman Sultan Murad V, known primarily for her role within the late Ottoman imperial harem.
 E1387431 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: Filizten Hanım | Statement: [Murad V, spouse, Filizten Hanım]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Filizten Hanım
Context triple: [Murad V, spouse, Filizten Hanım]
  • A. Behice Hanım
    Behice Hanım was an Ottoman consort best known as the wife of the last Ottoman Caliph, Abdülmecid II.
  • B. Nâzıme Hanım
    Nâzıme Hanım was the wife of prominent Ottoman-Turkish poet Tevfik Fikret and a member of an influential late Ottoman intellectual family.
  • C. Inşirah Hanım
    Inşirah Hanım was an Ottoman consort best known as one of the wives of the last Ottoman sultan, Mehmed VI.
  • D. İclal Hanım
    İclal Hanım was the wife of prominent Turkish military commander and statesman Kazım Karabekir.
  • E. Fatma Hanim
    Fatma Hanim is a central character in Orhan Pamuk’s novel "Silent House," depicted as an aging, embittered matriarch whose memories and obsessions reflect the social and political tensions of modernizing Turkey.
  • 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: Filizten Hanım
Triple: [Murad V, spouse, Filizten Hanım]
Generated description
Filizten Hanım was a consort of Ottoman Sultan Murad V, known primarily for her role within the late Ottoman imperial harem.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Filizten Hanım
Target entity description: Filizten Hanım was a consort of Ottoman Sultan Murad V, known primarily for her role within the late Ottoman imperial harem.
  • A. Behice Hanım
    Behice Hanım was an Ottoman consort best known as the wife of the last Ottoman Caliph, Abdülmecid II.
  • B. Nâzıme Hanım
    Nâzıme Hanım was the wife of prominent Ottoman-Turkish poet Tevfik Fikret and a member of an influential late Ottoman intellectual family.
  • C. Inşirah Hanım
    Inşirah Hanım was an Ottoman consort best known as one of the wives of the last Ottoman sultan, Mehmed VI.
  • D. İclal Hanım
    İclal Hanım was the wife of prominent Turkish military commander and statesman Kazım Karabekir.
  • E. Fatma Hanim
    Fatma Hanim is a central character in Orhan Pamuk’s novel "Silent House," depicted as an aging, embittered matriarch whose memories and obsessions reflect the social and political tensions of modernizing Turkey.
  • 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_6a077ed4f3148190aee5530e31447d4e completed May 15, 2026, 8:15 p.m.
NEDg Description generation batch_6a077f74e4fc81909fd1c65af64ba68f completed May 15, 2026, 8:17 p.m.
NED2 Entity disambiguation (via description) batch_6a0780e305f08190805e21212dec0b39 completed May 15, 2026, 8:24 p.m.
Created at: April 10, 2026, 1:41 p.m.