Triple

T10671116
Position Surface form Disambiguated ID Type / Status
Subject Üngör E251486 entity
Predicate usedBy P260 FINISHED
Object Osman Zeki Üngör E50114 NE FINISHED

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: Osman Zeki Üngör | Statement: [Üngör, usedBy, Osman Zeki Üngör]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Osman Zeki Üngör
Context triple: [Üngör, usedBy, Osman Zeki Üngör]
  • A. Osman Zeki Üngör chosen
    Osman Zeki Üngör was a prominent Turkish composer and conductor, best known for arranging and conducting the music that became Turkey’s national anthem.
  • B. Hüsamettin Cindoruk
    Hüsamettin Cindoruk is a Turkish politician and lawyer who has served in prominent roles including Speaker of the Grand National Assembly and leader of center-right political parties.
  • C. Necdet Budak
    Necdet Budak is a Turkish academic and agricultural engineer who serves as the rector of Ege University.
  • D. İhsan Doğramacı
    İhsan Doğramacı was a prominent Turkish pediatrician, academic, and university administrator known for his leading role in modernizing higher education and child health services in Turkey.
  • E. Mehmet Rahmi Eyüboğlu
    Mehmet Rahmi Eyüboğlu was a Turkish educator and intellectual known for his contributions to modern Turkish education and as the patriarch of the prominent Eyüboğlu family of writers and artists.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f8648a248190a3bd284c569152e4 completed April 9, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69d998b77db08190bce5a7ce24dbc085 completed April 11, 2026, 12:41 a.m.
Created at: April 8, 2026, 9:09 p.m.