Triple

T17204041
Position Surface form Disambiguated ID Type / Status
Subject Tevfik Fikret E417552 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. Halil Kut
    Halil Kut was an Ottoman military commander and general, best known for leading Ottoman forces in Mesopotamia during World War I, including the successful defense against British troops at the Siege of Kut.
  • C. Ahmet Nugetre
    Ahmet Nugetre is a songwriter and composer best known for writing the pop standard "Chains of Love."
  • D. Ismail Ankaravi
    Ismail Ankaravi was an Ottoman-era Mevlevi scholar and Sufi commentator best known for his influential exegesis on Rumi’s Mathnawi.
  • E. Faruk
    Faruk is a central character in Orhan Pamuk’s novel "Silent House," representing one of the intertwined perspectives that explore family tensions and Turkey’s social and political transformations.
  • 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_69d886d6ba8c819093215917b3d01689 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42db1e01c81909db0491fd9f49bed completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a015fdc13d88190bbf9e6d1272814d2 completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:38 a.m.