Triple

T2238200
Position Surface form Disambiguated ID Type / Status
Subject Sümeyye Erdoğan E49331 entity
Predicate givenName P17 FINISHED
Object Sümeyye
Sümeyye is the given name of Sümeyye Erdoğan, the daughter of Turkish President Recep Tayyip Erdoğan and a public figure in Turkey.
 E247675 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: Sümeyye | Statement: [Sümeyye Erdoğan, givenName, Sümeyye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sümeyye
Context triple: [Sümeyye Erdoğan, givenName, Sümeyye]
  • A. Melek Taus
    Melek Taus is the central peacock-angel figure in Yazidism, revered as a powerful and benevolent divine being who mediates between God and the world.
  • B. Halime Hatun
    Halime Hatun is traditionally regarded as the mother of Osman I, the founder of the Ottoman Empire, and is venerated in Turkish and Ottoman historical lore.
  • C. Gülbahar Hatun
    Gülbahar Hatun was an Ottoman consort and the mother of Sultan Selim I, remembered as a royal figure associated with charitable foundations and architectural patronage.
  • D. Buraydah
    Buraydah is a major city in central Saudi Arabia and the capital of Al-Qassim Region, known as an important agricultural and commercial center.
  • E. Inşirah Hanım
    Inşirah Hanım was an Ottoman consort best known as one of the wives of the last Ottoman sultan, Mehmed VI.
  • 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: Sümeyye
Triple: [Sümeyye Erdoğan, givenName, Sümeyye]
Generated description
Sümeyye is the given name of Sümeyye Erdoğan, the daughter of Turkish President Recep Tayyip Erdoğan and a public figure in Turkey.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sümeyye
Target entity description: Sümeyye is the given name of Sümeyye Erdoğan, the daughter of Turkish President Recep Tayyip Erdoğan and a public figure in Turkey.
  • A. Melek Taus
    Melek Taus is the central peacock-angel figure in Yazidism, revered as a powerful and benevolent divine being who mediates between God and the world.
  • B. Halime Hatun
    Halime Hatun is traditionally regarded as the mother of Osman I, the founder of the Ottoman Empire, and is venerated in Turkish and Ottoman historical lore.
  • C. Gülbahar Hatun
    Gülbahar Hatun was an Ottoman consort and the mother of Sultan Selim I, remembered as a royal figure associated with charitable foundations and architectural patronage.
  • D. Buraydah
    Buraydah is a major city in central Saudi Arabia and the capital of Al-Qassim Region, known as an important agricultural and commercial center.
  • E. Inşirah Hanım
    Inşirah Hanım was an Ottoman consort best known as one of the wives of the last Ottoman sultan, Mehmed VI.
  • 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_69a88aa84bdc819086df50e9c20b301e completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc096c7748190a545cc9b229bde62 completed March 7, 2026, 6:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae6b0a9ee881909dee8b0a657b9c73 completed March 9, 2026, 6:39 a.m.
NEDg Description generation batch_69ae6bbccdb08190a73fd20a110219d9 completed March 9, 2026, 6:42 a.m.
NED2 Entity disambiguation (via description) batch_69ae6c3d07a08190a6221a33fd02f73e completed March 9, 2026, 6:44 a.m.
Created at: March 4, 2026, 7:47 p.m.