Triple
T7681398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hülya Koçyiğit |
E174000
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Kınalı Yapıncak
Kınalı Yapıncak is a classic Turkish film best known for featuring prominent actress Hülya Koçyiğit in a leading role.
|
E687354
|
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: Kınalı Yapıncak | Statement: [Hülya Koçyiğit, notableWork, Kınalı Yapıncak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kınalı Yapıncak Context triple: [Hülya Koçyiğit, notableWork, Kınalı Yapıncak]
-
A.
Çınarlı
Çınarlı is a small settlement located on Marmara Island in the Sea of Marmara, Turkey.
-
B.
Karaköy
Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
-
C.
Cihanbeyli
Cihanbeyli is a town and district in central Turkey known for its location on the Konya Plain and its agriculture-based local economy.
-
D.
Muratpaşa
Muratpaşa is a central district and municipality of the city of Antalya in southern Turkey, known for its coastal location and urban, touristic character.
-
E.
Poyrazköy
Poyrazköy is a coastal neighborhood on the Asian side of Istanbul, Turkey, situated at the northern entrance of the Bosphorus Strait.
- 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: Kınalı Yapıncak Triple: [Hülya Koçyiğit, notableWork, Kınalı Yapıncak]
Generated description
Kınalı Yapıncak is a classic Turkish film best known for featuring prominent actress Hülya Koçyiğit in a leading role.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kınalı Yapıncak Target entity description: Kınalı Yapıncak is a classic Turkish film best known for featuring prominent actress Hülya Koçyiğit in a leading role.
-
A.
Çınarlı
Çınarlı is a small settlement located on Marmara Island in the Sea of Marmara, Turkey.
-
B.
Karaköy
Karaköy is a historic waterfront neighborhood in Istanbul known for its bustling port, cafes, and mix of traditional and modern urban life.
-
C.
Cihanbeyli
Cihanbeyli is a town and district in central Turkey known for its location on the Konya Plain and its agriculture-based local economy.
-
D.
Muratpaşa
Muratpaşa is a central district and municipality of the city of Antalya in southern Turkey, known for its coastal location and urban, touristic character.
-
E.
Poyrazköy
Poyrazköy is a coastal neighborhood on the Asian side of Istanbul, Turkey, situated at the northern entrance of the Bosphorus Strait.
- 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_69c6995840408190a19de6c51090f46f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70201387c8190afc8479b5a9e21e8 |
completed | March 27, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7b8b1fc8190a3c81c0ee018bb97 |
completed | March 29, 2026, 6:33 a.m. |
| NEDg | Description generation | batch_69c8c8fec84c8190a18b20fe614b4a60 |
completed | March 29, 2026, 6:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8c96f603c8190af51b36b24a7f1c5 |
completed | March 29, 2026, 6:40 a.m. |
Created at: March 27, 2026, 4:01 p.m.