Triple
T15169490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schippers |
E362446
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Kees Schippers
Kees Schippers was a Dutch poet, novelist, and art critic known for his playful, conceptual approach to language and everyday reality.
|
E1155342
|
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: Kees Schippers | Statement: [Schippers, hasNotableBearer, Kees Schippers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kees Schippers Context triple: [Schippers, hasNotableBearer, Kees Schippers]
-
A.
Pieter Verhagen
Pieter Verhagen is a notable individual recognized as a significant bearer of the Verhagen surname.
-
B.
Evert Verhagen
Evert Verhagen is a Dutch epidemiologist and researcher known for his work in sports injury prevention and public health.
-
C.
Guus Meeuwis
Guus Meeuwis is a Dutch singer-songwriter and pop artist best known for his hit songs and long-standing popularity in the Netherlands and Flanders.
-
D.
Jan Kleyna
Jan Kleyna is an astronomer known for discovering small outer moons of Jupiter and contributing to the study of planetary satellites.
-
E.
Bete Denagel
Bete Denagel is one of the rock-hewn monolithic churches in the historic Ethiopian town of Lalibela, renowned for its medieval Christian architecture and religious significance.
- 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: Kees Schippers Triple: [Schippers, hasNotableBearer, Kees Schippers]
Generated description
Kees Schippers was a Dutch poet, novelist, and art critic known for his playful, conceptual approach to language and everyday reality.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kees Schippers Target entity description: Kees Schippers was a Dutch poet, novelist, and art critic known for his playful, conceptual approach to language and everyday reality.
-
A.
Pieter Verhagen
Pieter Verhagen is a notable individual recognized as a significant bearer of the Verhagen surname.
-
B.
Evert Verhagen
Evert Verhagen is a Dutch epidemiologist and researcher known for his work in sports injury prevention and public health.
-
C.
Guus Meeuwis
Guus Meeuwis is a Dutch singer-songwriter and pop artist best known for his hit songs and long-standing popularity in the Netherlands and Flanders.
-
D.
Jan Kleyna
Jan Kleyna is an astronomer known for discovering small outer moons of Jupiter and contributing to the study of planetary satellites.
-
E.
Bete Denagel
Bete Denagel is one of the rock-hewn monolithic churches in the historic Ethiopian town of Lalibela, renowned for its medieval Christian architecture and religious significance.
- 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_69d85a087b7c81908baa94a53dac8d68 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0064dba588190a4341775b472a6d3 |
completed | April 15, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1337412081909f683ed542699ed5 |
completed | May 9, 2026, 10:57 a.m. |
| NEDg | Description generation | batch_69ff15c9898081909d60aad92f0ca85a |
completed | May 9, 2026, 11:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff166bbe908190967e8a08e4505753 |
completed | May 9, 2026, 11:11 a.m. |
Created at: April 10, 2026, 3:08 a.m.