Triple

T17089017
Position Surface form Disambiguated ID Type / Status
Subject Orhan Veli Kanık E414674 entity
Predicate collaboratedWith P435 FINISHED
Object Oktay Rifat NE NERFINISHED

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: Oktay Rifat | Statement: [Orhan Veli Kanık, collaboratedWith, Oktay Rifat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oktay Rifat
Context triple: [Orhan Veli Kanık, collaboratedWith, Oktay Rifat]
  • A. Oktay Rifat chosen
    Oktay Rifat was a prominent Turkish poet, playwright, and novelist, best known as one of the leading figures of the Garip movement that revolutionized modern Turkish poetry.
  • B. Metin Oktay
    Metin Oktay was a legendary Turkish footballer, best known as a prolific striker and iconic figure for Galatasaray and the Turkish national team in the 1950s and 1960s.
  • C. Şefik Birkiye
    Şefik Birkiye is a Turkish-Belgian architect known for designing large-scale governmental and institutional buildings, including Turkey’s Presidential Complex in Ankara.
  • D. Tevfik Akdağ
    Tevfik Akdağ was a Turkish poet associated with the İkinci Yeni (Second New) movement, known for his modernist and experimental approach to poetry.
  • E. Metin Feyzioğlu
    Metin Feyzioğlu is a prominent Turkish lawyer, academic, and former president of the Union of Turkish Bar Associations.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbe9dc808190ab20537100e7ddee completed April 18, 2026, 7:30 p.m.
Created at: April 10, 2026, 5:35 a.m.