Triple
T20874669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Selma |
E513986
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Selma Ergeç
Selma Ergeç is a Turkish-German actress and former model best known for her roles in popular Turkish television series and films.
|
E1455467
|
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: Selma Ergeç | Statement: [Selma, hasNotableBearer, Selma Ergeç]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Selma Ergeç Context triple: [Selma, hasNotableBearer, Selma Ergeç]
-
A.
Emine Bozkurt
Emine Bozkurt is a Dutch politician of Turkish descent who served as a Member of the European Parliament for the Labour Party (PvdA).
-
B.
Feride Karaca
Feride Karaca is known as the wife of legendary Turkish rock musician and political activist Cem Karaca.
-
C.
Emine Arslan
Emine Arslan is a notable individual recognized for achievements significant enough to distinguish her among people sharing the given name Emine.
-
D.
Nesrin Cansever
Nesrin Cansever is known as the wife of prominent Turkish modernist poet Edip Cansever.
-
E.
Sibel Kekilli
Sibel Kekilli is a German actress best known internationally for her role as Shae in the television series "Game of Thrones" and critically acclaimed performances in films such as "Head-On."
- 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: Selma Ergeç Triple: [Selma, hasNotableBearer, Selma Ergeç]
Generated description
Selma Ergeç is a Turkish-German actress and former model best known for her roles in popular Turkish television series and films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Selma Ergeç Target entity description: Selma Ergeç is a Turkish-German actress and former model best known for her roles in popular Turkish television series and films.
-
A.
Emine Bozkurt
Emine Bozkurt is a Dutch politician of Turkish descent who served as a Member of the European Parliament for the Labour Party (PvdA).
-
B.
Feride Karaca
Feride Karaca is known as the wife of legendary Turkish rock musician and political activist Cem Karaca.
-
C.
Emine Arslan
Emine Arslan is a notable individual recognized for achievements significant enough to distinguish her among people sharing the given name Emine.
-
D.
Nesrin Cansever
Nesrin Cansever is known as the wife of prominent Turkish modernist poet Edip Cansever.
-
E.
Sibel Kekilli
Sibel Kekilli is a German actress best known internationally for her role as Shae in the television series "Game of Thrones" and critically acclaimed performances in films such as "Head-On."
- 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_69e0b4f675cc8190b4e745225b62eb66 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c674075081909e0819b20bdbb7f4 |
completed | April 21, 2026, 12:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09139e7854819098246a47699fdf1f |
completed | May 17, 2026, 1:02 a.m. |
| NEDg | Description generation | batch_6a09145a9b0481909086941cdd981e1a |
completed | May 17, 2026, 1:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0914f1925081909bce8ad0932c6722 |
completed | May 17, 2026, 1:08 a.m. |
Created at: April 16, 2026, 12:45 p.m.