Triple

T14500741
Position Surface form Disambiguated ID Type / Status
Subject Fahri Korutürk E359627 entity
Predicate givenName P17 FINISHED
Object Fahri
Fahri is a Turkish masculine given name commonly borne by notable figures in politics, arts, and public life.
 E1102556 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: Fahri | Statement: [Fahri Korutürk, givenName, Fahri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fahri
Context triple: [Fahri Korutürk, givenName, Fahri]
  • A. Faruk
    Faruk is a central character in Orhan Pamuk’s novel "Silent House," representing one of the intertwined perspectives that explore family tensions and Turkey’s social and political transformations.
  • B. Fayiz
    Fayiz is a masculine given name of Arabic origin, commonly used as a variant transliteration of the name Fayez.
  • C. Fazl
    Fazl is the given name of Fazl-e-Haq Khairabadi, a 19th-century Indian Islamic scholar, philosopher, and prominent figure in the Indian Rebellion of 1857.
  • D. Fathi
    Fathi is an Arabic masculine given name commonly used in the Middle East and North Africa.
  • E. Ishak
    Ishak is the colloquial Russian nickname for the Polikarpov I-16, a pioneering Soviet monoplane fighter aircraft used extensively in the 1930s and during World War II.
  • 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: Fahri
Triple: [Fahri Korutürk, givenName, Fahri]
Generated description
Fahri is a Turkish masculine given name commonly borne by notable figures in politics, arts, and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fahri
Target entity description: Fahri is a Turkish masculine given name commonly borne by notable figures in politics, arts, and public life.
  • A. Faruk
    Faruk is a central character in Orhan Pamuk’s novel "Silent House," representing one of the intertwined perspectives that explore family tensions and Turkey’s social and political transformations.
  • B. Fayiz
    Fayiz is a masculine given name of Arabic origin, commonly used as a variant transliteration of the name Fayez.
  • C. Fazl
    Fazl is the given name of Fazl-e-Haq Khairabadi, a 19th-century Indian Islamic scholar, philosopher, and prominent figure in the Indian Rebellion of 1857.
  • D. Fathi
    Fathi is an Arabic masculine given name commonly used in the Middle East and North Africa.
  • E. Ishak
    Ishak is the colloquial Russian nickname for the Polikarpov I-16, a pioneering Soviet monoplane fighter aircraft used extensively in the 1930s and during World War II.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de94dfe484819086dd971606e6478e completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d9b6f7481908b7eb76226a93545 completed May 8, 2026, 4:59 a.m.
NEDg Description generation batch_69fd6efed3108190a524c64adf740303 completed May 8, 2026, 5:05 a.m.
NED2 Entity disambiguation (via description) batch_69fd6f8648408190aed910a7f269abee completed May 8, 2026, 5:07 a.m.
Created at: April 10, 2026, 1:21 a.m.