Triple

T2238206
Position Surface form Disambiguated ID Type / Status
Subject Sümeyye Erdoğan E49331 entity
Predicate mother P120 FINISHED
Object Emine Erdoğan E47086 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: Emine Erdoğan | Statement: [Sümeyye Erdoğan, mother, Emine Erdoğan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Emine Erdoğan
Context triple: [Sümeyye Erdoğan, mother, Emine Erdoğan]
  • A. Emine Erdoğan chosen
    Emine Erdoğan is the First Lady of Turkey, known for her social and humanitarian initiatives, particularly in education, women's empowerment, and refugee support.
  • 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. 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.
  • D. Ahmet Burak Erdoğan
    Ahmet Burak Erdoğan is the eldest son of Turkish President Recep Tayyip Erdoğan and a businessman known for his involvement in various commercial ventures.
  • E. Nurettin Sözen
    Nurettin Sözen is a Turkish politician and medical doctor who served as the mayor of Istanbul in the early 1990s.
  • 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_69aea86527d08190a1332d133fbd7293 completed March 9, 2026, 11 a.m.
Created at: March 4, 2026, 7:47 p.m.