Triple

T17768595
Position Surface form Disambiguated ID Type / Status
Subject Ahmet Ümit E443573 entity
Predicate name P16 FINISHED
Object Ahmet Ümit 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: Ahmet Ümit | Statement: [Ahmet Ümit, name, Ahmet Ümit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ahmet Ümit
Context triple: [Ahmet Ümit, name, Ahmet Ümit]
  • A. Ahmet Ümit chosen
    Ahmet Ümit is a prominent Turkish author best known for his crime and detective novels that blend suspense with social and political commentary.
  • B. Cemal Süreya
    Cemal Süreya was a prominent 20th-century Turkish poet, writer, and translator, renowned as a leading figure of the Second New (İkinci Yeni) movement in modern Turkish literature.
  • C. Fazıl Aysu
    Fazıl Aysu was a Turkish architect best known for designing Istanbul’s historic BJK İnönü Stadium, home of the Beşiktaş football club.
  • D. Fazıl Hüsnü Dağlarca
    Fazıl Hüsnü Dağlarca was a prominent Turkish poet renowned for his prolific output and innovative, often nationalistic and existential verse that made him a central figure in 20th-century Turkish literature.
  • E. Cevdet Sunay
    Cevdet Sunay was a Turkish army general and statesman who served as the fifth President of Turkey from 1966 to 1973.
  • 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e485fd8aa081909c8ee9264af15c69 completed April 19, 2026, 7:36 a.m.
Created at: April 10, 2026, 10:11 a.m.