Triple

T18502473
Position Surface form Disambiguated ID Type / Status
Subject Diriliş: Ertuğrul E452110 entity
Predicate castMember P1668 FINISHED
Object Burak Özçivit 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: Burak Özçivit | Statement: [Diriliş: Ertuğrul, castMember, Burak Özçivit]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Burak Özçivit
Context triple: [Diriliş: Ertuğrul, castMember, Burak Özçivit]
  • A. Burak Özçivit chosen
    Burak Özçivit is a Turkish actor and former model best known for his leading roles in popular Turkish television dramas and films.
  • B. Burak Deniz
    Burak Deniz is a Turkish actor best known for his leading roles in popular television dramas and romantic series.
  • C. Emin Özmen
    Emin Özmen is a Turkish photojournalist renowned for his powerful documentation of conflict, human rights abuses, and humanitarian crises.
  • D. Burak Yılmaz
    Burak Yılmaz is a Turkish professional footballer and prolific striker known for his goal-scoring exploits with clubs like Trabzonspor, Galatasaray, and Beşiktaş, as well as for leading the Turkish national team.
  • E. Melih Gökçek
    Melih Gökçek is a Turkish politician best known for his long tenure as the mayor of Ankara and his prominent role in conservative Islamist politics.
  • 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_69d8d3855d50819097fc8561b0299dd9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e532c535908190bdc90c58fc5bdaf7 completed April 19, 2026, 7:53 p.m.
Created at: April 10, 2026, 11:36 a.m.