Triple
T9729538
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melih Gökçek |
E235702
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object |
İbrahim Melih Gökçek
İbrahim Melih Gökçek is a Turkish politician best known for serving as the long-time mayor of Ankara.
|
E817503
|
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: İbrahim Melih Gökçek | Statement: [Melih Gökçek, name, İbrahim Melih Gökçek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: İbrahim Melih Gökçek Context triple: [Melih Gökçek, name, İbrahim Melih Gökçek]
-
A.
Sercan Yıldırım
Sercan Yıldırım is a Turkish professional footballer best known as a pacey forward who rose to prominence with Bursaspor and earned caps for the Turkey national team.
-
B.
Tahsin Özgüç
Tahsin Özgüç was a prominent Turkish archaeologist renowned for his pioneering research on ancient Anatolian civilizations.
-
C.
Mehmet Ali Şahin
Mehmet Ali Şahin is a Turkish politician who has served in prominent roles including Speaker of the Grand National Assembly and Minister of Justice.
-
D.
Tahsin Banguoğlu
Tahsin Banguoğlu was a Turkish linguist, academic, and politician known for his influential work on Turkish language and grammar.
-
E.
Ekrem Akurgal
Ekrem Akurgal was a prominent Turkish archaeologist and historian known for his influential research on the ancient civilizations of Anatolia and the Aegean.
- 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: İbrahim Melih Gökçek Triple: [Melih Gökçek, name, İbrahim Melih Gökçek]
Generated description
İbrahim Melih Gökçek is a Turkish politician best known for serving as the long-time mayor of Ankara.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: İbrahim Melih Gökçek Target entity description: İbrahim Melih Gökçek is a Turkish politician best known for serving as the long-time mayor of Ankara.
-
A.
Sercan Yıldırım
Sercan Yıldırım is a Turkish professional footballer best known as a pacey forward who rose to prominence with Bursaspor and earned caps for the Turkey national team.
-
B.
Tahsin Özgüç
Tahsin Özgüç was a prominent Turkish archaeologist renowned for his pioneering research on ancient Anatolian civilizations.
-
C.
Mehmet Ali Şahin
Mehmet Ali Şahin is a Turkish politician who has served in prominent roles including Speaker of the Grand National Assembly and Minister of Justice.
-
D.
Tahsin Banguoğlu
Tahsin Banguoğlu was a Turkish linguist, academic, and politician known for his influential work on Turkish language and grammar.
-
E.
Ekrem Akurgal
Ekrem Akurgal was a prominent Turkish archaeologist and historian known for his influential research on the ancient civilizations of Anatolia and the Aegean.
- 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_69ca84d0fad481909cdd45aa77416c48 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9eb0ff488190ac32ed304a3cd3bc |
completed | April 1, 2026, 10:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19fb5f5bc8190ae53bc5c165b5ac7 |
completed | April 4, 2026, 11:33 p.m. |
| NEDg | Description generation | batch_69d1a482c0bc81908c3c7ae7c2f19473 |
completed | April 4, 2026, 11:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1a83336308190acb209223da11766 |
completed | April 5, 2026, 12:09 a.m. |
Created at: March 30, 2026, 8:21 p.m.