Triple

T18331297
Position Surface form Disambiguated ID Type / Status
Subject Hasan Ali Toptaş E439146 entity
Predicate name P16 FINISHED
Object Hasan Ali Toptaş 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: Hasan Ali Toptaş | Statement: [Hasan Ali Toptaş, name, Hasan Ali Toptaş]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hasan Ali Toptaş
Context triple: [Hasan Ali Toptaş, name, Hasan Ali Toptaş]
  • A. Hasan Ali Toptaş chosen
    Hasan Ali Toptaş is a contemporary Turkish novelist known for his innovative, often surreal narrative style and significant contributions to modern Turkish literature.
  • B. Bülent Korkmaz
    Bülent Korkmaz is a former Turkish central defender best known as a one-club legend and long-time captain of Galatasaray, with whom he won numerous domestic titles and the 2000 UEFA Cup.
  • C. Necmettin Bilal
    Necmettin Bilal is a Turkish businessman best known as the son of Turkey’s long-serving president, Recep Tayyip Erdoğan.
  • D. Tarık Akan
    Tarık Akan was a prominent Turkish film actor and producer known for his leading roles in 1970s–80s Turkish cinema and his later work in socially conscious films.
  • E. Nurettin Sözen
    Nurettin Sözen is a Turkish politician and medical doctor who served as the mayor of Istanbul in the early 1990s.
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50eca08388190b4e757a5f63b5d41 completed April 19, 2026, 5:20 p.m.
Created at: April 10, 2026, 10:36 a.m.