Triple
T8133369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dursun Özbek |
E189907
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Dursun
Dursun is a Turkish masculine given name commonly borne by several notable figures in sports, politics, and public life in Turkey.
|
E714064
|
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: Dursun | Statement: [Dursun Özbek, givenName, Dursun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dursun Context triple: [Dursun Özbek, givenName, Dursun]
-
A.
Dursunbey
Dursunbey is a town and district in western Turkey known for its forestry, timber production, and rural character within Balıkesir Province.
-
B.
Seyhun
Seyhun is the historical name used in Islamic and Central Asian sources for the Syr Darya River, one of the major rivers of Central Asia.
-
C.
Ersoy
Ersoy is a Turkish surname most notably borne by Mehmet Akif Ersoy, the poet of the Turkish National Anthem.
-
D.
Fuat
Fuat is a Turkish masculine given name commonly borne by notable figures in politics, academia, and the arts.
-
E.
Eyüp
Eyüp is a historic district on Istanbul’s Golden Horn, known for its important Ottoman-era mosque complex and traditional neighborhoods.
- 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: Dursun Triple: [Dursun Özbek, givenName, Dursun]
Generated description
Dursun is a Turkish masculine given name commonly borne by several notable figures in sports, politics, and public life in Turkey.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dursun Target entity description: Dursun is a Turkish masculine given name commonly borne by several notable figures in sports, politics, and public life in Turkey.
-
A.
Dursunbey
Dursunbey is a town and district in western Turkey known for its forestry, timber production, and rural character within Balıkesir Province.
-
B.
Seyhun
Seyhun is the historical name used in Islamic and Central Asian sources for the Syr Darya River, one of the major rivers of Central Asia.
-
C.
Ersoy
Ersoy is a Turkish surname most notably borne by Mehmet Akif Ersoy, the poet of the Turkish National Anthem.
-
D.
Fuat
Fuat is a Turkish masculine given name commonly borne by notable figures in politics, academia, and the arts.
-
E.
Eyüp
Eyüp is a historic district on Istanbul’s Golden Horn, known for its important Ottoman-era mosque complex and traditional neighborhoods.
- 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_69ca82bcb4848190a9a9d036ad768642 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb43ba98c881909c4b4c9cd25ad063 |
completed | March 31, 2026, 3:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc9488f0bc8190a4fdf6d021f54e13 |
completed | April 1, 2026, 3:44 a.m. |
| NEDg | Description generation | batch_69cc95c180188190a2d541e8ea9a4c57 |
completed | April 1, 2026, 3:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc970698f88190a0869515904e50e3 |
completed | April 1, 2026, 3:54 a.m. |
Created at: March 30, 2026, 5:35 p.m.