Triple
T18834733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kerem Bürsin |
E460630
|
entity |
| Predicate | coStarredWith |
P14987
|
FINISHED |
| Object |
Hande Erçel
Hande Erçel is a popular Turkish actress and model best known for her leading roles in romantic television dramas.
|
E1345925
|
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: Hande Erçel | Statement: [Kerem Bürsin, coStarredWith, Hande Erçel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hande Erçel Context triple: [Kerem Bürsin, coStarredWith, Hande Erçel]
-
A.
Nermin Erbakan
Nermin Erbakan was the wife of Turkish politician and former Prime Minister Necmettin Erbakan and a member of a prominent conservative political family in Turkey.
-
B.
Hüma Hatun
Hüma Hatun was a consort of Ottoman Sultan Murad II and the mother of Mehmed II, the conqueror of Constantinople.
-
C.
Hülya Darcan
Hülya Darcan is a Turkish actress best known internationally for her role as Hayme Ana in the historical TV series "Diriliş: Ertuğrul."
-
D.
Yasemin Erkut
Yasemin Erkut is known as the spouse of the late Turkish actor and prominent cinema figure Tarık Akan.
-
E.
Emine Işınsu
Emine Işınsu was a prominent Turkish novelist and playwright known for her works exploring national identity, spirituality, and social issues in modern Turkey.
- 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: Hande Erçel Triple: [Kerem Bürsin, coStarredWith, Hande Erçel]
Generated description
Hande Erçel is a popular Turkish actress and model best known for her leading roles in romantic television dramas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hande Erçel Target entity description: Hande Erçel is a popular Turkish actress and model best known for her leading roles in romantic television dramas.
-
A.
Nermin Erbakan
Nermin Erbakan was the wife of Turkish politician and former Prime Minister Necmettin Erbakan and a member of a prominent conservative political family in Turkey.
-
B.
Hüma Hatun
Hüma Hatun was a consort of Ottoman Sultan Murad II and the mother of Mehmed II, the conqueror of Constantinople.
-
C.
Hülya Darcan
Hülya Darcan is a Turkish actress best known internationally for her role as Hayme Ana in the historical TV series "Diriliş: Ertuğrul."
-
D.
Yasemin Erkut
Yasemin Erkut is known as the spouse of the late Turkish actor and prominent cinema figure Tarık Akan.
-
E.
Emine Işınsu
Emine Işınsu was a prominent Turkish novelist and playwright known for her works exploring national identity, spirituality, and social issues in modern Turkey.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a99c1394819095c62eef040e552c |
completed | April 20, 2026, 4:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05676957848190bbc1998f4e36d11e |
completed | May 14, 2026, 6:10 a.m. |
| NEDg | Description generation | batch_6a056984d9d88190ab457cef689a5159 |
completed | May 14, 2026, 6:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0569fd03f081908d217efa260f8938 |
completed | May 14, 2026, 6:21 a.m. |
Created at: April 10, 2026, 11:56 a.m.