Triple

T3728833
Position Surface form Disambiguated ID Type / Status
Subject Tutunamayanlar E79012 entity
Predicate mainCharacter P1183 FINISHED
Object Selim Işık E387936 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: Selim Işık | Statement: [Tutunamayanlar, mainCharacter, Selim Işık]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Selim Işık
Context triple: [Tutunamayanlar, mainCharacter, Selim Işık]
  • A. Selim Işık chosen
    Selim Işık is a central, tragicomic character in Oğuz Atay’s novel "Tutunamayanlar," symbolizing the alienated intellectual who cannot adapt to modern Turkish society.
  • B. Mehmet Ragif
    Mehmet Ragif is the birth name of Mehmet Akif Ersoy, the renowned Turkish poet, writer, and author of the Turkish National Anthem.
  • C. 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.
  • D. Kerim Bey
    Kerim Bey is a charismatic and resourceful MI6 ally in the James Bond series, best known for assisting Bond in Istanbul in the film and novel "From Russia, with Love."
  • E. Mehmet Dalman
    Mehmet Dalman is a British-Turkish investment banker and football executive best known for serving as chairman of Cardiff City Football Club.
  • 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_69ad8b0e4650819090ad7cef094285e8 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb17432881909390284b935ed3fd completed March 8, 2026, 7:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503e45050819088f51d8161b31abb completed March 14, 2026, 6:44 a.m.
Created at: March 8, 2026, 3:34 p.m.