Triple
T19839370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Younus |
E476683
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Yunus (Turkish form)
Yunus is the Turkish form of the male given name corresponding to Jonah, commonly used in Turkish-speaking communities.
|
E1398615
|
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: Yunus (Turkish form) | Statement: [Younus, hasVariant, Yunus (Turkish form)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yunus (Turkish form) Context triple: [Younus, hasVariant, Yunus (Turkish form)]
-
A.
Yunus Nadi Abalıoğlu
Yunus Nadi Abalıoğlu was a prominent Turkish journalist, politician, and close associate of Mustafa Kemal Atatürk who played a key role in shaping early Republican-era media and politics.
-
B.
Yunus Kocak
Yunus Kocak is a basketball coach known for his role with the China men’s national basketball team.
-
C.
Yusufçuk Yusuf
Yusufçuk Yusuf is a novel by renowned Turkish author Kemal Tahir (Kemal Sadık Gökçeli), reflecting his characteristic focus on social and historical themes in Turkey.
-
D.
Eyüp
Eyüp is a historic district on Istanbul’s Golden Horn, known for its important Ottoman-era mosque complex and traditional neighborhoods.
-
E.
Gürsel
Gürsel is a Turkish surname most notably associated with Cemal Gürsel, a military leader and the fourth President of 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: Yunus (Turkish form) Triple: [Younus, hasVariant, Yunus (Turkish form)]
Generated description
Yunus is the Turkish form of the male given name corresponding to Jonah, commonly used in Turkish-speaking communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yunus (Turkish form) Target entity description: Yunus is the Turkish form of the male given name corresponding to Jonah, commonly used in Turkish-speaking communities.
-
A.
Yunus Nadi Abalıoğlu
Yunus Nadi Abalıoğlu was a prominent Turkish journalist, politician, and close associate of Mustafa Kemal Atatürk who played a key role in shaping early Republican-era media and politics.
-
B.
Yunus Kocak
Yunus Kocak is a basketball coach known for his role with the China men’s national basketball team.
-
C.
Yusufçuk Yusuf
Yusufçuk Yusuf is a novel by renowned Turkish author Kemal Tahir (Kemal Sadık Gökçeli), reflecting his characteristic focus on social and historical themes in Turkey.
-
D.
Eyüp
Eyüp is a historic district on Istanbul’s Golden Horn, known for its important Ottoman-era mosque complex and traditional neighborhoods.
-
E.
Gürsel
Gürsel is a Turkish surname most notably associated with Cemal Gürsel, a military leader and the fourth President of 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_69d8e51d39d081909bcfafeaaf3d2fcc |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65804be608190b49e110c3bf381bc |
completed | April 20, 2026, 4:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07d436990481908bb488d3935fa773 |
completed | May 16, 2026, 2:19 a.m. |
| NEDg | Description generation | batch_6a07d5ec45208190a75365a4a411aa7c |
completed | May 16, 2026, 2:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07d6ffc6508190aa9df66c2cf3d532 |
completed | May 16, 2026, 2:31 a.m. |
Created at: April 10, 2026, 1:50 p.m.