Triple

T2238220
Position Surface form Disambiguated ID Type / Status
Subject Sümeyye Erdoğan E49331 entity
Predicate hasRelative P367 FINISHED
Object Esra Erdoğan E49060 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: Esra Erdoğan | Statement: [Sümeyye Erdoğan, hasRelative, Esra Erdoğan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Esra Erdoğan
Context triple: [Sümeyye Erdoğan, hasRelative, Esra Erdoğan]
  • A. Esra Erdoğan chosen
    Esra Erdoğan is the daughter of Turkish President Recep Tayyip Erdoğan and a public figure involved in educational and social initiatives in Turkey.
  • B. Sümeyye Erdoğan
    Sümeyye Erdoğan is a Turkish political figure and activist, best known as the daughter of President Recep Tayyip Erdoğan and for her involvement in social and charitable initiatives.
  • C. Emine Erdoğan
    Emine Erdoğan is the First Lady of Turkey, known for her social and humanitarian initiatives, particularly in education, women's empowerment, and refugee support.
  • D. Hülya Koçyiğit
    Hülya Koçyiğit is a renowned Turkish film and television actress, celebrated as one of the leading stars of Yeşilçam-era cinema.
  • E. Gülse Birsel
    Gülse Birsel is a prominent Turkish screenwriter, actress, columnist, and television host known for creating and starring in popular comedy series.
  • 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_69a88aa84bdc819086df50e9c20b301e completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc096c7748190a545cc9b229bde62 completed March 7, 2026, 6:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3b515c081909d6ad7f0506ea5a8 completed March 9, 2026, 11:49 a.m.
Created at: March 4, 2026, 7:47 p.m.