Triple
T9475118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Numan Kurtulmuş |
E228495
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Sevim Kurtulmuş
Sevim Kurtulmuş is known as the wife of Turkish politician Numan Kurtulmuş, a prominent figure in Turkey's conservative political sphere.
|
E802008
|
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: Sevim Kurtulmuş | Statement: [Numan Kurtulmuş, spouse, Sevim Kurtulmuş]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sevim Kurtulmuş Context triple: [Numan Kurtulmuş, spouse, Sevim Kurtulmuş]
-
A.
Gonca Dündar
Gonca Dündar is known as the spouse of prominent Turkish journalist and television presenter Uğur Dündar.
-
B.
Zehra Zümrüt
Zehra Zümrüt is a Turkish politician best known for serving as Turkey’s Minister of Family, Labour and Social Services.
-
C.
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.
-
D.
Münevver Andaç
Münevver Andaç was the wife of renowned Turkish poet Nâzım Hikmet and is remembered as one of his significant romantic partners and muses.
-
E.
Yasemin Erkut
Yasemin Erkut is known as the spouse of the late Turkish actor and prominent cinema figure Tarık Akan.
- 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: Sevim Kurtulmuş Triple: [Numan Kurtulmuş, spouse, Sevim Kurtulmuş]
Generated description
Sevim Kurtulmuş is known as the wife of Turkish politician Numan Kurtulmuş, a prominent figure in Turkey's conservative political sphere.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sevim Kurtulmuş Target entity description: Sevim Kurtulmuş is known as the wife of Turkish politician Numan Kurtulmuş, a prominent figure in Turkey's conservative political sphere.
-
A.
Gonca Dündar
Gonca Dündar is known as the spouse of prominent Turkish journalist and television presenter Uğur Dündar.
-
B.
Zehra Zümrüt
Zehra Zümrüt is a Turkish politician best known for serving as Turkey’s Minister of Family, Labour and Social Services.
-
C.
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.
-
D.
Münevver Andaç
Münevver Andaç was the wife of renowned Turkish poet Nâzım Hikmet and is remembered as one of his significant romantic partners and muses.
-
E.
Yasemin Erkut
Yasemin Erkut is known as the spouse of the late Turkish actor and prominent cinema figure Tarık Akan.
- 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_69ca847162c48190b079076c9595513c |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7ff39f48819087e696c2c1ffe638 |
completed | April 1, 2026, 8:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12ceb52088190a03963a762c7d30d |
completed | April 4, 2026, 3:23 p.m. |
| NEDg | Description generation | batch_69d12de7e14c8190b32b96847aafcabb |
completed | April 4, 2026, 3:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d12e4077a4819094e86eb0de69b2ed |
completed | April 4, 2026, 3:29 p.m. |
Created at: March 30, 2026, 7:54 p.m.