Triple
T15773004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ağrıdağı Efsanesi |
E382409
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Gülbahar
Gülbahar is the tragic heroine of the Turkish novel "Ağrıdağı Efsanesi," whose love story unfolds against the backdrop of Mount Ararat’s legendary landscape.
|
E1175356
|
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: Gülbahar | Statement: [Ağrıdağı Efsanesi, mainCharacter, Gülbahar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gülbahar Context triple: [Ağrıdağı Efsanesi, mainCharacter, Gülbahar]
-
A.
Nergiz
Nergiz is a neighborhood within the Karşıyaka district of İzmir, Turkey, known as a residential and commercial area on the city’s northern shore.
-
B.
Hülya
Hülya is a feminine given name of Turkish origin commonly used in Turkey and among Turkish communities.
-
C.
Güls
Güls is a district of the German city of Koblenz, situated along the Moselle River and known for its winegrowing and scenic riverside setting.
-
D.
Tevfikiye
Tevfikiye is a village in northwestern Turkey located close to the archaeological site of Hisarlik, widely identified with ancient Troy.
-
E.
Gulnare
Gulnare is a central female character in Lord Byron’s narrative poem "The Corsair," known for her courage, passion, and pivotal role in the story’s dramatic events.
- 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: Gülbahar Triple: [Ağrıdağı Efsanesi, mainCharacter, Gülbahar]
Generated description
Gülbahar is the tragic heroine of the Turkish novel "Ağrıdağı Efsanesi," whose love story unfolds against the backdrop of Mount Ararat’s legendary landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gülbahar Target entity description: Gülbahar is the tragic heroine of the Turkish novel "Ağrıdağı Efsanesi," whose love story unfolds against the backdrop of Mount Ararat’s legendary landscape.
-
A.
Nergiz
Nergiz is a neighborhood within the Karşıyaka district of İzmir, Turkey, known as a residential and commercial area on the city’s northern shore.
-
B.
Hülya
Hülya is a feminine given name of Turkish origin commonly used in Turkey and among Turkish communities.
-
C.
Güls
Güls is a district of the German city of Koblenz, situated along the Moselle River and known for its winegrowing and scenic riverside setting.
-
D.
Tevfikiye
Tevfikiye is a village in northwestern Turkey located close to the archaeological site of Hisarlik, widely identified with ancient Troy.
-
E.
Gulnare
Gulnare is a central female character in Lord Byron’s narrative poem "The Corsair," known for her courage, passion, and pivotal role in the story’s dramatic events.
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e051976d248190adddd3db9f758e22 |
completed | April 16, 2026, 3:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff877c5ae88190aeb500bb5f0d73f7 |
completed | May 9, 2026, 7:14 p.m. |
| NEDg | Description generation | batch_69ff885d33708190adb157afa7dc2e07 |
completed | May 9, 2026, 7:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff8948cc68819085c3953226236394 |
completed | May 9, 2026, 7:21 p.m. |
Created at: April 10, 2026, 4:47 a.m.