Triple

T13156058
Position Surface form Disambiguated ID Type / Status
Subject Necmettin Bilal Erdoğan E312592 entity
Predicate sibling P363 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: [Necmettin Bilal Erdoğan, sibling, Esra Erdoğan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Esra Erdoğan
Context triple: [Necmettin Bilal Erdoğan, sibling, 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. 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.
  • C. Sema Erdoğan
    Sema Erdoğan is known as the wife of Ahmet Burak Erdoğan, the son of Turkish President Recep Tayyip Erdoğan.
  • D. 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.
  • E. 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.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c06ccb881909390df18e1a6f7ed completed April 10, 2026, 11:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5df07ec8190be64ed80d7e220b7 completed May 3, 2026, 7:14 a.m.
Created at: April 9, 2026, 9:12 p.m.