Triple
T13704751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cevdet Sunay |
E328610
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Sunay
Sunay is a Turkish surname most notably associated with Cevdet Sunay, the fifth President of Turkey and former Chief of the General Staff.
|
E1054897
|
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: Sunay | Statement: [Cevdet Sunay, familyName, Sunay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sunay Context triple: [Cevdet Sunay, familyName, Sunay]
-
A.
Sayun
Sayun is a historic oasis city in Yemen’s Hadhramaut region, known for its traditional mud-brick architecture and the prominent Sultan’s Palace.
-
B.
Meya
Meya is a variant form of the given name Maya, often used as a feminine personal name.
-
C.
Yumani
Yumani is a small lakeside village on Bolivia’s Isla del Sol, known as a main gateway for visitors and for its scenic views over Lake Titicaca.
-
D.
Shiri
Shiri is a feminine given name most notably borne by American actress Shiri Appleby.
-
E.
Suna Besha
Suna Besha is a ceremonial adornment of the deities of the Jagannath Temple in Puri, during which they are richly decorated with gold ornaments, especially on the chariots after the Rath Yatra.
- 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: Sunay Triple: [Cevdet Sunay, familyName, Sunay]
Generated description
Sunay is a Turkish surname most notably associated with Cevdet Sunay, the fifth President of Turkey and former Chief of the General Staff.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sunay Target entity description: Sunay is a Turkish surname most notably associated with Cevdet Sunay, the fifth President of Turkey and former Chief of the General Staff.
-
A.
Sayun
Sayun is a historic oasis city in Yemen’s Hadhramaut region, known for its traditional mud-brick architecture and the prominent Sultan’s Palace.
-
B.
Meya
Meya is a variant form of the given name Maya, often used as a feminine personal name.
-
C.
Yumani
Yumani is a small lakeside village on Bolivia’s Isla del Sol, known as a main gateway for visitors and for its scenic views over Lake Titicaca.
-
D.
Shiri
Shiri is a feminine given name most notably borne by American actress Shiri Appleby.
-
E.
Suna Besha
Suna Besha is a ceremonial adornment of the deities of the Jagannath Temple in Puri, during which they are richly decorated with gold ornaments, especially on the chariots after the Rath Yatra.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dcad17732c8190bbd0d73107711c99 |
completed | April 13, 2026, 8:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7945b63288190819621830ac1c0d6 |
completed | May 3, 2026, 6:30 p.m. |
| NEDg | Description generation | batch_69f796df515c819080a95621a8308629 |
completed | May 3, 2026, 6:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7976846308190b1a5c056609fca34 |
completed | May 3, 2026, 6:43 p.m. |
Created at: April 9, 2026, 9:54 p.m.