Triple
T11184080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Necmettin Erbakan |
E264614
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Elif Erbakan |
E264614
|
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: Elif Erbakan | Statement: [Necmettin Erbakan, child, Elif Erbakan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elif Erbakan Context triple: [Necmettin Erbakan, child, Elif Erbakan]
-
A.
Elif Erbakan
chosen
Elif Erbakan is a Turkish public figure best known as the daughter of former Turkish Prime Minister and influential Islamist politician Necmettin Erbakan.
-
B.
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.
-
C.
Semra Özal
Semra Özal is a Turkish public figure best known as the wife of former Turkish President and Prime Minister Turgut Özal and for her prominent role in Turkish social and political life during his tenure.
-
D.
Hulya Çavuşoğlu
Hulya Çavuşoğlu is known as the wife of Turkish politician and former foreign minister Mevlüt Çavuşoğlu.
-
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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8a9c5e081908c85b41a268428fb |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e509dd91288190beefaaa451d692ae |
completed | April 19, 2026, 4:59 p.m. |
Created at: April 8, 2026, 9:29 p.m.