Triple
T21993451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goede tijden, slechte tijden |
E543144
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object |
Demi Verduyn
Demi Verduyn is a fictional character from the long-running Dutch soap opera "Goede tijden, slechte tijden."
|
E1518478
|
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: Demi Verduyn | Statement: [Goede tijden, slechte tijden, hasCharacter, Demi Verduyn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Demi Verduyn Context triple: [Goede tijden, slechte tijden, hasCharacter, Demi Verduyn]
-
A.
Merel Verduyn
Merel Verduyn is a fictional character from the long-running Dutch soap opera "Goede tijden, slechte tijden."
-
B.
Renée Soutendijk
Renée Soutendijk is a Dutch actress known for her work in European cinema and television, particularly for her roles in psychological thrillers and art-house films.
-
C.
Carin van der Donk
Carin van der Donk is a Dutch former model and photographer best known as the wife of American actor Vincent D'Onofrio.
-
D.
Anna van Egmond
Anna van Egmond was a 16th-century Dutch noblewoman and heiress who became the first wife of William the Silent, Prince of Orange.
-
E.
Catharina (Caro) Verbeek
Catharina (Caro) Verbeek is a Dutch politician who serves as the mayor of the municipality of Bodegraven-Reeuwijk in the Netherlands.
- 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: Demi Verduyn Triple: [Goede tijden, slechte tijden, hasCharacter, Demi Verduyn]
Generated description
Demi Verduyn 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: Demi Verduyn Target entity description: Demi Verduyn is a fictional character from the long-running Dutch soap opera "Goede tijden, slechte tijden."
-
A.
Merel Verduyn
Merel Verduyn is a fictional character from the long-running Dutch soap opera "Goede tijden, slechte tijden."
-
B.
Renée Soutendijk
Renée Soutendijk is a Dutch actress known for her work in European cinema and television, particularly for her roles in psychological thrillers and art-house films.
-
C.
Carin van der Donk
Carin van der Donk is a Dutch former model and photographer best known as the wife of American actor Vincent D'Onofrio.
-
D.
Anna van Egmond
Anna van Egmond was a 16th-century Dutch noblewoman and heiress who became the first wife of William the Silent, Prince of Orange.
-
E.
Catharina (Caro) Verbeek
Catharina (Caro) Verbeek is a Dutch politician who serves as the mayor of the municipality of Bodegraven-Reeuwijk in the Netherlands.
- 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_6a0a8789961081908b26980f1dd018d7 |
completed | May 18, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_6a0a89500af08190a4837a0ef6d7042d |
completed | May 18, 2026, 3:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a8a353b3881908230b1dc890c896f |
completed | May 18, 2026, 3:40 a.m. |
Created at: April 16, 2026, 8:17 p.m.