Triple
T20740571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Net 2.0 |
E510426
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Şebnem Dönmez
Şebnem Dönmez is a Turkish actress and television presenter known for her roles in both Turkish productions and international films.
|
E1449314
|
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: Şebnem Dönmez | Statement: [The Net 2.0, stars, Şebnem Dönmez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Şebnem Dönmez Context triple: [The Net 2.0, stars, Şebnem Dönmez]
-
A.
Nuriye Öğütçü
Nuriye Öğütçü was the wife of renowned Turkish novelist Orhan Kemal and a figure known primarily in connection with his personal life.
-
B.
Zehra Zümrüt
Zehra Zümrüt is a Turkish politician best known for serving as Turkey’s Minister of Family, Labour and Social Services.
-
C.
Sevim Kurtulmuş
Sevim Kurtulmuş is known as the wife of Turkish politician Numan Kurtulmuş, a prominent figure in Turkey's conservative political sphere.
-
D.
Emine Gülizar Emecan
Emine Gülizar Emecan is a Turkish politician known for her role as a member of the Grand National Assembly of Turkey.
-
E.
Şükran Güngör
Şükran Güngör was a prominent Turkish stage and film actor, celebrated for his work in modern Turkish theatre and his long association with the Kenter Theatre.
- 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: Şebnem Dönmez Triple: [The Net 2.0, stars, Şebnem Dönmez]
Generated description
Şebnem Dönmez is a Turkish actress and television presenter known for her roles in both Turkish productions and international films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Şebnem Dönmez Target entity description: Şebnem Dönmez is a Turkish actress and television presenter known for her roles in both Turkish productions and international films.
-
A.
Nuriye Öğütçü
Nuriye Öğütçü was the wife of renowned Turkish novelist Orhan Kemal and a figure known primarily in connection with his personal life.
-
B.
Zehra Zümrüt
Zehra Zümrüt is a Turkish politician best known for serving as Turkey’s Minister of Family, Labour and Social Services.
-
C.
Sevim Kurtulmuş
Sevim Kurtulmuş is known as the wife of Turkish politician Numan Kurtulmuş, a prominent figure in Turkey's conservative political sphere.
-
D.
Emine Gülizar Emecan
Emine Gülizar Emecan is a Turkish politician known for her role as a member of the Grand National Assembly of Turkey.
-
E.
Şükran Güngör
Şükran Güngör was a prominent Turkish stage and film actor, celebrated for his work in modern Turkish theatre and his long association with the Kenter Theatre.
- 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_69e0b4c845e88190b4c5f3ae79291182 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c20e76ac8190985203b2c17aca14 |
completed | April 21, 2026, 12:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08ef7deae081908657d2ef8a2445da |
completed | May 16, 2026, 10:28 p.m. |
| NEDg | Description generation | batch_6a08f127ec5c819093407df681fab39e |
completed | May 16, 2026, 10:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08f1ba42288190806c924a14043b30 |
completed | May 16, 2026, 10:37 p.m. |
Created at: April 16, 2026, 12:32 p.m.