Triple

T21233060
Position Surface form Disambiguated ID Type / Status
Subject Nur Fettahoğlu E523272 entity
Predicate familyName P18 FINISHED
Object Fettahoğlu
Fettahoğlu is a Turkish surname most notably borne by actress Nur Fettahoğlu, known for her roles in Turkish television and film.
 E1475661 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: Fettahoğlu | Statement: [Nur Fettahoğlu, familyName, Fettahoğlu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fettahoğlu
Context triple: [Nur Fettahoğlu, familyName, Fettahoğlu]
  • A. Celal
    Celal is a central character in Orhan Pamuk’s novel "The Black Book," around whom much of the story’s mystery and identity exploration revolves.
  • B. Ahmetbeyli
    Ahmetbeyli is a coastal neighborhood and historical area in western Turkey known for its beaches and proximity to ancient ruins.
  • C. Şahin Bey
    Şahin Bey was an Ottoman military officer and national hero known for leading resistance against French forces during the Turkish War of Independence, particularly in the defense of Gaziantep.
  • D. Fuat
    Fuat is a Turkish masculine given name commonly borne by notable figures in politics, academia, and the arts.
  • E. Bekir
    Bekir is a common Turkish male given name of Arabic origin, often associated with early Islamic history and frequently borne by notable figures in 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: Fettahoğlu
Triple: [Nur Fettahoğlu, familyName, Fettahoğlu]
Generated description
Fettahoğlu is a Turkish surname most notably borne by actress Nur Fettahoğlu, known for her roles in Turkish television and film.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fettahoğlu
Target entity description: Fettahoğlu is a Turkish surname most notably borne by actress Nur Fettahoğlu, known for her roles in Turkish television and film.
  • A. Celal
    Celal is a central character in Orhan Pamuk’s novel "The Black Book," around whom much of the story’s mystery and identity exploration revolves.
  • B. Ahmetbeyli
    Ahmetbeyli is a coastal neighborhood and historical area in western Turkey known for its beaches and proximity to ancient ruins.
  • C. Şahin Bey
    Şahin Bey was an Ottoman military officer and national hero known for leading resistance against French forces during the Turkish War of Independence, particularly in the defense of Gaziantep.
  • D. Fuat
    Fuat is a Turkish masculine given name commonly borne by notable figures in politics, academia, and the arts.
  • E. Bekir
    Bekir is a common Turkish male given name of Arabic origin, often associated with early Islamic history and frequently borne by notable figures in 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_69e0b512ad94819087942b2ed925185f completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e734b1524c8190a77eaf2fabd601c3 completed April 21, 2026, 8:26 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0997f2f2148190bda96ebfd52c046c completed May 17, 2026, 10:26 a.m.
NEDg Description generation batch_6a09986fabd08190b2b017aceb9827f6 completed May 17, 2026, 10:29 a.m.
NED2 Entity disambiguation (via description) batch_6a0998e8f2488190800c67f13fb6b1a4 completed May 17, 2026, 10:31 a.m.
Created at: April 16, 2026, 3:45 p.m.