Triple

T10835209
Position Surface form Disambiguated ID Type / Status
Subject Selçuk E255736 entity
Predicate hasNotableBearer P458 FINISHED
Object Mehmet Selçuk
Mehmet Selçuk is a Turkish professional footballer known for playing as a midfielder in Turkey’s top leagues.
 E891642 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: Mehmet Selçuk | Statement: [Selçuk, hasNotableBearer, Mehmet Selçuk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mehmet Selçuk
Context triple: [Selçuk, hasNotableBearer, Mehmet Selçuk]
  • A. Mehmet Ragif
    Mehmet Ragif is the birth name of Mehmet Akif Ersoy, the renowned Turkish poet, writer, and author of the Turkish National Anthem.
  • B. İsmail Selçuk
    İsmail Selçuk is a person notable enough to be recognized as a prominent bearer of the Turkish surname Selçuk.
  • C. Mehmet Dalman
    Mehmet Dalman is a British-Turkish investment banker and football executive best known for serving as chairman of Cardiff City Football Club.
  • D. Kadir Topbaş
    Kadir Topbaş was a Turkish architect and politician who served for many years as the influential mayor of Istanbul, overseeing major urban development and infrastructure projects in the city.
  • E. Kemal Sadık Gökçeli
    Kemal Sadık Gökçeli, better known by his pen name Yaşar Kemal, was a prominent Turkish novelist and one of the most influential figures in modern Turkish literature.
  • 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: Mehmet Selçuk
Triple: [Selçuk, hasNotableBearer, Mehmet Selçuk]
Generated description
Mehmet Selçuk is a Turkish professional footballer known for playing as a midfielder in Turkey’s top leagues.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mehmet Selçuk
Target entity description: Mehmet Selçuk is a Turkish professional footballer known for playing as a midfielder in Turkey’s top leagues.
  • A. Mehmet Ragif
    Mehmet Ragif is the birth name of Mehmet Akif Ersoy, the renowned Turkish poet, writer, and author of the Turkish National Anthem.
  • B. İsmail Selçuk
    İsmail Selçuk is a person notable enough to be recognized as a prominent bearer of the Turkish surname Selçuk.
  • C. Mehmet Dalman
    Mehmet Dalman is a British-Turkish investment banker and football executive best known for serving as chairman of Cardiff City Football Club.
  • D. Kadir Topbaş
    Kadir Topbaş was a Turkish architect and politician who served for many years as the influential mayor of Istanbul, overseeing major urban development and infrastructure projects in the city.
  • E. Kemal Sadık Gökçeli
    Kemal Sadık Gökçeli, better known by his pen name Yaşar Kemal, was a prominent Turkish novelist and one of the most influential figures in modern Turkish literature.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d746fdefd4819099772efbd4f302cb completed April 9, 2026, 6:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e154a582188190af96ae0d5cc08dc4 completed April 16, 2026, 9:29 p.m.
NEDg Description generation batch_69e1739ed9b88190949125759f42efd2 completed April 16, 2026, 11:41 p.m.
NED2 Entity disambiguation (via description) batch_69e175ecef0c8190b08052d751f1a608 completed April 16, 2026, 11:51 p.m.
Created at: April 8, 2026, 9:19 p.m.