Triple
T12400366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adnan Menderes |
E296235
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Mutlu Menderes |
E985039
|
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: Mutlu Menderes | Statement: [Adnan Menderes, child, Mutlu Menderes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mutlu Menderes Context triple: [Adnan Menderes, child, Mutlu Menderes]
-
A.
Yüksel Menderes
chosen
Yüksel Menderes was a Turkish politician and the son of former Prime Minister Adnan Menderes.
-
B.
Yıldırım Akbulut
Yıldırım Akbulut was a Turkish politician who served as Prime Minister and later as Speaker of the Grand National Assembly during the late 20th century.
-
C.
İsmet Güney
İsmet Güney was a Turkish Cypriot artist best known for creating the original design of the Republic of Cyprus’s national flag and coat of arms.
-
D.
Melih Cevdet Anday
Melih Cevdet Anday was a prominent Turkish poet, playwright, and essayist, best known as one of the leading figures of the Garip (Strange) movement that revolutionized modern Turkish poetry.
-
E.
Tevfik Esenç
Tevfik Esenç was a Turkish man of Ubykh descent renowned as the last fluent speaker of the Ubykh language and a key source for its documentation by linguists.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d46007c81908e0f4b590402bf58 |
completed | April 10, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64b941d208190b75de2083b8b74a4 |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:55 p.m.