Triple

T21993452
Position Surface form Disambiguated ID Type / Status
Subject Goede tijden, slechte tijden E543144 entity
Predicate hasCharacter P2308 FINISHED
Object Ilyas Yilmaz
Ilyas Yilmaz is a fictional character from the long-running Dutch soap opera "Goede tijden, slechte tijden."
 E1512522 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: Ilyas Yilmaz | Statement: [Goede tijden, slechte tijden, hasCharacter, Ilyas Yilmaz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ilyas Yilmaz
Context triple: [Goede tijden, slechte tijden, hasCharacter, Ilyas Yilmaz]
  • A. Hasan Arat
    Hasan Arat is a Turkish businessman and sports executive best known for leading the Istanbul-based football club Beşiktaş JK as its chairman.
  • B. Selim Soydan
    Selim Soydan is a former Turkish footballer and sports executive, known both for his career in Turkish football and his long marriage to acclaimed actress Hülya Koçyiğit.
  • C. Murat Aysan
    Murat Aysan is a Turkish businessman best known to the public as the husband of actress Nur Fettahoğlu.
  • D. Ozan Tufan
    Ozan Tufan is a Turkish professional footballer, primarily a midfielder, who has played for clubs such as Bursaspor and Fenerbahçe as well as the Turkey national team.
  • E. Cem Yılmaz
    Cem Yılmaz is a prominent Turkish stand-up comedian, actor, and filmmaker known for his influential role in modern Turkish cinema and comedy.
  • 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: Ilyas Yilmaz
Triple: [Goede tijden, slechte tijden, hasCharacter, Ilyas Yilmaz]
Generated description
Ilyas Yilmaz is a fictional character from the long-running Dutch soap opera "Goede tijden, slechte tijden."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ilyas Yilmaz
Target entity description: Ilyas Yilmaz is a fictional character from the long-running Dutch soap opera "Goede tijden, slechte tijden."
  • A. Hasan Arat
    Hasan Arat is a Turkish businessman and sports executive best known for leading the Istanbul-based football club Beşiktaş JK as its chairman.
  • B. Selim Soydan
    Selim Soydan is a former Turkish footballer and sports executive, known both for his career in Turkish football and his long marriage to acclaimed actress Hülya Koçyiğit.
  • C. Murat Aysan
    Murat Aysan is a Turkish businessman best known to the public as the husband of actress Nur Fettahoğlu.
  • D. Ozan Tufan
    Ozan Tufan is a Turkish professional footballer, primarily a midfielder, who has played for clubs such as Bursaspor and Fenerbahçe as well as the Turkey national team.
  • E. Cem Yılmaz
    Cem Yılmaz is a prominent Turkish stand-up comedian, actor, and filmmaker known for his influential role in modern Turkish cinema and comedy.
  • 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_69e11e2c814c8190837d072789000486 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1270f77fc8190aadcc02760d65ac0 completed April 28, 2026, 9:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a6d85f104819088dba8d0bf347fbe completed May 18, 2026, 1:38 a.m.
NEDg Description generation batch_6a0a6e556f3c8190927d1c0cba23463c completed May 18, 2026, 1:41 a.m.
NED2 Entity disambiguation (via description) batch_6a0a6f3de2e88190824c9cc266c7ee8c completed May 18, 2026, 1:45 a.m.
Created at: April 16, 2026, 8:17 p.m.