Triple
T3498251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edith Schippers |
E73902
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Schippers
Schippers is a Dutch surname most notably borne by Edith Schippers, a prominent Dutch politician and former Minister of Health, Welfare and Sport.
|
E362446
|
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: Schippers | Statement: [Edith Schippers, familyName, Schippers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schippers Context triple: [Edith Schippers, familyName, Schippers]
-
A.
Hollander
Hollander is a surname most prominently associated with English actor Tom Hollander, known for his versatile roles in film, television, and theatre.
-
B.
Sjoukje
Sjoukje is a feminine given name of Dutch origin, commonly used in the Netherlands and Friesland.
-
C.
Sjaalman
Sjaalman is a fictional character in Multatuli’s novel "Max Havelaar," serving as an alter ego and narrative device to expose colonial abuses in the Dutch East Indies.
-
D.
Halsema
Halsema is a Dutch surname most prominently associated with Femke Halsema, a politician who became the first female mayor of Amsterdam.
-
E.
Fortuna Sittard
Fortuna Sittard is a professional football club from Sittard in the Netherlands that competes in the Dutch league system, including the Eredivisie.
- 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: Schippers Triple: [Edith Schippers, familyName, Schippers]
Generated description
Schippers is a Dutch surname most notably borne by Edith Schippers, a prominent Dutch politician and former Minister of Health, Welfare and Sport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schippers Target entity description: Schippers is a Dutch surname most notably borne by Edith Schippers, a prominent Dutch politician and former Minister of Health, Welfare and Sport.
-
A.
Hollander
Hollander is a surname most prominently associated with English actor Tom Hollander, known for his versatile roles in film, television, and theatre.
-
B.
Sjoukje
Sjoukje is a feminine given name of Dutch origin, commonly used in the Netherlands and Friesland.
-
C.
Sjaalman
Sjaalman is a fictional character in Multatuli’s novel "Max Havelaar," serving as an alter ego and narrative device to expose colonial abuses in the Dutch East Indies.
-
D.
Halsema
Halsema is a Dutch surname most prominently associated with Femke Halsema, a politician who became the first female mayor of Amsterdam.
-
E.
Fortuna Sittard
Fortuna Sittard is a professional football club from Sittard in the Netherlands that competes in the Dutch league system, including the Eredivisie.
- 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_69ad85cdb6e48190a335d412b9194ed8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbd299ec8190b76b165b2fd70537 |
completed | March 8, 2026, 6:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b373d2ef9c819087458a0ac02d4596 |
completed | March 13, 2026, 2:17 a.m. |
| NEDg | Description generation | batch_69b375532e14819083e86362daa3c3b5 |
completed | March 13, 2026, 2:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b375afa3a881909b41ee75c18f89d9 |
completed | March 13, 2026, 2:25 a.m. |
Created at: March 8, 2026, 3:18 p.m.