Triple
T6354402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaykhusraw II |
E142954
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Gürcü Hatun
Gürcü Hatun was a 13th-century Georgian princess who became a prominent Seljuk queen consort through her marriage to Sultan Kaykhusraw II.
|
E587186
|
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: Gürcü Hatun | Statement: [Kaykhusraw II, spouse, Gürcü Hatun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gürcü Hatun Context triple: [Kaykhusraw II, spouse, Gürcü Hatun]
-
A.
Dürrinev Kadın
Dürrinev Kadın was a consort of Ottoman Sultan Abdülaziz and held the title of BaşKadin (chief consort) in the 19th-century Ottoman imperial harem.
-
B.
Ketevan
Ketevan is a Georgian female given name, often associated with historical and cultural figures from Georgia.
-
C.
Asporça Hatun
Asporça Hatun was a consort of the early Ottoman ruler Orhan Gazi and a notable figure in the formative period of the Ottoman dynasty.
-
D.
Ertegun
Ertegun is a Turkish surname most prominently associated with Ahmet Ertegun, the influential co-founder of Atlantic Records and a key figure in the development of modern popular music.
-
E.
Khatia
Khatia is a small gateway village that serves as one of the main entry points to Kanha National Park in central India.
- 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: Gürcü Hatun Triple: [Kaykhusraw II, spouse, Gürcü Hatun]
Generated description
Gürcü Hatun was a 13th-century Georgian princess who became a prominent Seljuk queen consort through her marriage to Sultan Kaykhusraw II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gürcü Hatun Target entity description: Gürcü Hatun was a 13th-century Georgian princess who became a prominent Seljuk queen consort through her marriage to Sultan Kaykhusraw II.
-
A.
Dürrinev Kadın
Dürrinev Kadın was a consort of Ottoman Sultan Abdülaziz and held the title of BaşKadin (chief consort) in the 19th-century Ottoman imperial harem.
-
B.
Ketevan
Ketevan is a Georgian female given name, often associated with historical and cultural figures from Georgia.
-
C.
Asporça Hatun
Asporça Hatun was a consort of the early Ottoman ruler Orhan Gazi and a notable figure in the formative period of the Ottoman dynasty.
-
D.
Ertegun
Ertegun is a Turkish surname most prominently associated with Ahmet Ertegun, the influential co-founder of Atlantic Records and a key figure in the development of modern popular music.
-
E.
Khatia
Khatia is a small gateway village that serves as one of the main entry points to Kanha National Park in central India.
- 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_69c008d6dcbc8190aa1c2f1fd8916b42 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067e0cf1081908ee7e83b9dcf740e |
completed | March 22, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6045e03e88190a8607e5d73c812bc |
completed | March 27, 2026, 4:15 a.m. |
| NEDg | Description generation | batch_69c6057466ec8190afe96107862bb40a |
completed | March 27, 2026, 4:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6060a113881909b424d0c47c2107e |
completed | March 27, 2026, 4:22 a.m. |
Created at: March 22, 2026, 4:31 p.m.