Triple

T4137574
Position Surface form Disambiguated ID Type / Status
Subject Tevfik Fikret E89191 entity
Predicate child P120 FINISHED
Object Haluk Fikret E414540 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: Haluk Fikret | Statement: [Tevfik Fikret, child, Haluk Fikret]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haluk Fikret
Context triple: [Tevfik Fikret, child, Haluk Fikret]
  • A. Fikret chosen
    Fikret is a Turkish surname most notably associated with the influential poet and educator Tevfik Fikret, a leading figure in late Ottoman literature.
  • B. Feridun Zaimoglu
    Feridun Zaimoglu is a German-Turkish author and artist known for his influential novels, essays, and plays that explore migration, identity, and multicultural life in Germany.
  • C. Hasan Arat
    Hasan Arat is a Turkish businessman and sports executive best known for leading the Istanbul-based football club Beşiktaş JK as its chairman.
  • D. Adnan Adıvar
    Adnan Adıvar was a Turkish physician, politician, writer, and historian of science who played a significant role in the early years of the Turkish Republic.
  • E. Ahmet
    Ahmet is a common male given name of Arabic origin, widely used in Turkey and other Muslim-majority countries as a variant of Ahmed.
  • 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_69aed95785788190ae75bcf0cd1cafdf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02345c2c819090a9db6b375a7fc7 completed March 9, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f2bb38c819090884069688063d2 completed March 14, 2026, 3:30 p.m.
Created at: March 9, 2026, 3:43 p.m.