Triple

T13752327
Position Surface form Disambiguated ID Type / Status
Subject Mustafa Verşan Kök E330383 entity
Predicate name P16 FINISHED
Object Mustafa Verşan Kök E330383 NE FINISHED

How this triple was built (2 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: Mustafa Verşan Kök | Statement: [Mustafa Verşan Kök, name, Mustafa Verşan Kök]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mustafa Verşan Kök
Context triple: [Mustafa Verşan Kök, name, Mustafa Verşan Kök]
  • A. Mustafa Verşan Kök chosen
    Mustafa Verşan Kök is a Turkish academic who serves as the rector of Middle East Technical University (METU), one of Turkey’s leading research universities.
  • B. Tahsin Banguoğlu
    Tahsin Banguoğlu was a Turkish linguist, academic, and politician known for his influential work on Turkish language and grammar.
  • 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. Fahri Korutürk
    Fahri Korutürk was a Turkish admiral, diplomat, and statesman who served as the sixth President of Turkey from 1973 to 1980.
  • E. Ahmed Ağaoğlu
    Ahmed Ağaoğlu was a prominent late Ottoman and early Republican Turkish-Azerbaijani intellectual, journalist, and politician known for his advocacy of modernization, nationalism, and liberal reforms.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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.
Created at: April 9, 2026, 10:09 p.m.