Triple

T14575537
Position Surface form Disambiguated ID Type / Status
Subject Ahmet Burak Erdoğan E342034 entity
Predicate spouse P13 FINISHED
Object Sema Erdoğan E342034 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: Sema Erdoğan | Statement: [Ahmet Burak Erdoğan, spouse, Sema Erdoğan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sema Erdoğan
Context triple: [Ahmet Burak Erdoğan, spouse, Sema Erdoğan]
  • A. Sema Erdoğan chosen
    Sema Erdoğan is known as the wife of Ahmet Burak Erdoğan, the son of Turkish President Recep Tayyip Erdoğan.
  • B. Esra Erdoğan
    Esra Erdoğan is the daughter of Turkish President Recep Tayyip Erdoğan and a public figure involved in educational and social initiatives in Turkey.
  • 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. Aslı Erdoğan
    Aslı Erdoğan is a Turkish writer, human rights activist, and former physicist known for her politically charged novels and essays that critique state violence and oppression.
  • E. 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.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f49d58819094fcd2a702e146cb completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5c57fa4819086912bdd2bda8b80 completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:24 a.m.