Triple
T7522849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ahmet Necdet Sezer |
E177814
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Semra Sezer
Semra Sezer is the wife of former Turkish President Ahmet Necdet Sezer and served as Turkey’s First Lady from 2000 to 2007.
|
E672037
|
NE FINISHED |
How this triple was built (4 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: Semra Sezer | Statement: [Ahmet Necdet Sezer, spouse, Semra Sezer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Semra Sezer Context triple: [Ahmet Necdet Sezer, spouse, Semra Sezer]
-
A.
Emine Sevgi Özdamar
Emine Sevgi Özdamar is a Turkish-German writer, actress, and director renowned for her innovative German-language prose exploring migration, identity, and intercultural experience.
-
B.
Nesrin Cansever
Nesrin Cansever is known as the wife of prominent Turkish modernist poet Edip Cansever.
-
C.
Melih Gökçek
Melih Gökçek is a Turkish politician best known for his long tenure as the mayor of Ankara and his prominent role in conservative Islamist politics.
-
D.
Zehra Zümrüt
Zehra Zümrüt is a Turkish politician best known for serving as Turkey’s Minister of Family, Labour and Social Services.
-
E.
Şükran Güngör
Şükran Güngör was a prominent Turkish stage and film actor, celebrated for his work in modern Turkish theatre and his long association with the Kenter Theatre.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Semra Sezer Triple: [Ahmet Necdet Sezer, spouse, Semra Sezer]
Generated description
Semra Sezer is the wife of former Turkish President Ahmet Necdet Sezer and served as Turkey’s First Lady from 2000 to 2007.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Semra Sezer Target entity description: Semra Sezer is the wife of former Turkish President Ahmet Necdet Sezer and served as Turkey’s First Lady from 2000 to 2007.
-
A.
Emine Sevgi Özdamar
Emine Sevgi Özdamar is a Turkish-German writer, actress, and director renowned for her innovative German-language prose exploring migration, identity, and intercultural experience.
-
B.
Nesrin Cansever
Nesrin Cansever is known as the wife of prominent Turkish modernist poet Edip Cansever.
-
C.
Melih Gökçek
Melih Gökçek is a Turkish politician best known for his long tenure as the mayor of Ankara and his prominent role in conservative Islamist politics.
-
D.
Zehra Zümrüt
Zehra Zümrüt is a Turkish politician best known for serving as Turkey’s Minister of Family, Labour and Social Services.
-
E.
Şükran Güngör
Şükran Güngör was a prominent Turkish stage and film actor, celebrated for his work in modern Turkish theatre and his long association with the Kenter Theatre.
- F. None of above. chosen
Provenance (5 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_69c69f29bf3081909a146aec7755f185 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f7c4f32081908b5162f4551adb6d |
completed | March 27, 2026, 9:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84efbbed48190baa687bb738a0c54 |
completed | March 28, 2026, 9:58 p.m. |
| NEDg | Description generation | batch_69c85331d7a48190be801f1f7350af85 |
completed | March 28, 2026, 10:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c85401d2048190a44830366b7f0ed4 |
completed | March 28, 2026, 10:19 p.m. |
Created at: March 27, 2026, 3:46 p.m.