Triple
T18502460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diriliş: Ertuğrul |
E452110
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Barış Bağcı
Barış Bağcı is a Turkish actor known for his prominent roles in historical and drama television series and films.
|
E1345034
|
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: Barış Bağcı | Statement: [Diriliş: Ertuğrul, castMember, Barış Bağcı]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barış Bağcı Context triple: [Diriliş: Ertuğrul, castMember, Barış Bağcı]
-
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.
Cüneyt Çakır
Cüneyt Çakır is a retired Turkish football referee renowned for officiating numerous high-profile international matches, including major UEFA Champions League and FIFA World Cup games.
-
D.
Serdar Gökhan
Serdar Gökhan is a veteran Turkish actor known for his roles in historical dramas and classic Yeşilçam-era films.
-
E.
Emin Özmen
Emin Özmen is a Turkish photojournalist renowned for his powerful documentation of conflict, human rights abuses, and humanitarian crises.
- 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: Barış Bağcı Triple: [Diriliş: Ertuğrul, castMember, Barış Bağcı]
Generated description
Barış Bağcı is a Turkish actor known for his prominent roles in historical and drama television series and films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barış Bağcı Target entity description: Barış Bağcı is a Turkish actor known for his prominent roles in historical and drama television series and films.
-
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.
Cüneyt Çakır
Cüneyt Çakır is a retired Turkish football referee renowned for officiating numerous high-profile international matches, including major UEFA Champions League and FIFA World Cup games.
-
D.
Serdar Gökhan
Serdar Gökhan is a veteran Turkish actor known for his roles in historical dramas and classic Yeşilçam-era films.
-
E.
Emin Özmen
Emin Özmen is a Turkish photojournalist renowned for his powerful documentation of conflict, human rights abuses, and humanitarian crises.
- 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_69d8d3855d50819097fc8561b0299dd9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e532c535908190bdc90c58fc5bdaf7 |
completed | April 19, 2026, 7:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0567524c208190b59e3c3b4df57a29 |
completed | May 14, 2026, 6:10 a.m. |
| NEDg | Description generation | batch_6a0567d37444819080c19a1363eedc3b |
completed | May 14, 2026, 6:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a056838b2488190a7d23b7cdde05fac |
completed | May 14, 2026, 6:14 a.m. |
Created at: April 10, 2026, 11:36 a.m.