Triple

T18502445
Position Surface form Disambiguated ID Type / Status
Subject Diriliş: Ertuğrul E452110 entity
Predicate composer P1361 FINISHED
Object Alpay Göltekin 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: Alpay Göltekin | Statement: [Diriliş: Ertuğrul, composer, Alpay Göltekin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alpay Göltekin
Context triple: [Diriliş: Ertuğrul, composer, Alpay Göltekin]
  • A. Alpay Göltekin chosen
    Alpay Göltekin is a Turkish musician and vocalist best known for performing the powerful opening theme of the historical TV series "Diriliş: Ertuğrul."
  • B. Tahsin Özgüç
    Tahsin Özgüç was a prominent Turkish archaeologist renowned for his pioneering research on ancient Anatolian civilizations.
  • C. Yusuf Akçura
    Yusuf Akçura was an influential early 20th-century Ottoman-Turkish intellectual and political thinker, best known as a pioneer of Turkish nationalism and author of the seminal essay "Üç Tarz-ı Siyaset" ("Three Types of Policy").
  • D. Emin Özmen
    Emin Özmen is a Turkish photojournalist renowned for his powerful documentation of conflict, human rights abuses, and humanitarian crises.
  • E. Tahsin Banguoğlu
    Tahsin Banguoğlu was a Turkish linguist, academic, and politician known for his influential work on Turkish language and grammar.
  • 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.