Triple

T13752329
Position Surface form Disambiguated ID Type / Status
Subject Mustafa Verşan Kök E330383 entity
Predicate familyName P18 FINISHED
Object Kök
Kök is a Turkish surname most notably borne by Mustafa Verşan Kök, a Turkish academic and university administrator.
 E1058997 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: Kök | Statement: [Mustafa Verşan Kök, familyName, Kök]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kök
Context triple: [Mustafa Verşan Kök, familyName, Kök]
  • A. Kökeqota
    Kökeqota is a historic city in what is now Hohhot, Inner Mongolia, that served as the principal political and administrative center of the Northern Yuan dynasty after the fall of the Yuan in China.
  • B. Korku
    Korku is an indigenous tribal language of central India, primarily spoken by the Korku people in parts of Maharashtra and neighboring states.
  • C. Kökejin
    Kökejin was a Mongol noblewoman of the Yuan dynasty best known as the mother of Emperor Temür Khan.
  • D. Kuku
    Kuku are an ethnic group native to South Sudan, primarily inhabiting parts of Central Equatoria and speaking a Bari-related language.
  • E. Kockasti
    Kockasti is the popular nickname of the Croatia men's national basketball team, referencing the iconic red-and-white checkered pattern associated with Croatian sports.
  • 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: Kök
Triple: [Mustafa Verşan Kök, familyName, Kök]
Generated description
Kök is a Turkish surname most notably borne by Mustafa Verşan Kök, a Turkish academic and university administrator.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kök
Target entity description: Kök is a Turkish surname most notably borne by Mustafa Verşan Kök, a Turkish academic and university administrator.
  • A. Kökeqota
    Kökeqota is a historic city in what is now Hohhot, Inner Mongolia, that served as the principal political and administrative center of the Northern Yuan dynasty after the fall of the Yuan in China.
  • B. Korku
    Korku is an indigenous tribal language of central India, primarily spoken by the Korku people in parts of Maharashtra and neighboring states.
  • C. Kökejin
    Kökejin was a Mongol noblewoman of the Yuan dynasty best known as the mother of Emperor Temür Khan.
  • D. Kuku
    Kuku are an ethnic group native to South Sudan, primarily inhabiting parts of Central Equatoria and speaking a Bari-related language.
  • E. Kockasti
    Kockasti is the popular nickname of the Croatia men's national basketball team, referencing the iconic red-and-white checkered pattern associated with Croatian sports.
  • 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_69d81c573f288190aa2403d484fa3d49 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0215cfa08190aaed8b089aff217b completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a8560614819085958205637f3863 completed May 3, 2026, 7:56 p.m.
NEDg Description generation batch_69f7a8f6833881908bcca35d7d01596a completed May 3, 2026, 7:58 p.m.
NED2 Entity disambiguation (via description) batch_69f7a9c3c6548190802e1163c9c35b67 completed May 3, 2026, 8:02 p.m.
Created at: April 9, 2026, 10:09 p.m.