Triple
T22662336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeroen Brouwers |
E559696
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Bezonken rood
Bezonken rood is a harrowing autobiographical novel by Jeroen Brouwers that reflects on his traumatic childhood experiences in a Japanese internment camp during World War II.
|
E1548524
|
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: Bezonken rood | Statement: [Jeroen Brouwers, notableWork, Bezonken rood]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bezonken rood Context triple: [Jeroen Brouwers, notableWork, Bezonken rood]
-
A.
Beelden aan Zee
Beelden aan Zee is a Dutch museum in Scheveningen, The Hague, dedicated exclusively to modern and contemporary sculpture.
-
B.
Den Oever
Den Oever is a village in the Dutch province of North Holland, known as a fishing port and gateway to the Afsluitdijk on the former island of Wieringen.
-
C.
Rotes Wasser
Rotes Wasser is a small river in Germany that serves as a tributary of the Ohm.
-
D.
De Koperwiek
De Koperwiek is a major shopping center in Capelle aan den IJssel, Netherlands, featuring a variety of retail stores, services, and dining options.
-
E.
Drachtstervaart
Drachtstervaart is a canal in the Dutch town of Drachten that serves as an important local waterway for transport and recreation.
- 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: Bezonken rood Triple: [Jeroen Brouwers, notableWork, Bezonken rood]
Generated description
Bezonken rood is a harrowing autobiographical novel by Jeroen Brouwers that reflects on his traumatic childhood experiences in a Japanese internment camp during World War II.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bezonken rood Target entity description: Bezonken rood is a harrowing autobiographical novel by Jeroen Brouwers that reflects on his traumatic childhood experiences in a Japanese internment camp during World War II.
-
A.
Beelden aan Zee
Beelden aan Zee is a Dutch museum in Scheveningen, The Hague, dedicated exclusively to modern and contemporary sculpture.
-
B.
Den Oever
Den Oever is a village in the Dutch province of North Holland, known as a fishing port and gateway to the Afsluitdijk on the former island of Wieringen.
-
C.
Rotes Wasser
Rotes Wasser is a small river in Germany that serves as a tributary of the Ohm.
-
D.
De Koperwiek
De Koperwiek is a major shopping center in Capelle aan den IJssel, Netherlands, featuring a variety of retail stores, services, and dining options.
-
E.
Drachtstervaart
Drachtstervaart is a canal in the Dutch town of Drachten that serves as an important local waterway for transport and recreation.
- 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_69e2454a158c819093b8e35f5045efb6 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f17660c0c88190bed9fa8f6517eec4 |
completed | April 29, 2026, 3:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b73e409048190b435921e455d7bbd |
completed | May 18, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_6a0b7541919c8190a5bb0f31560bf871 |
completed | May 18, 2026, 8:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b762f315c8190a85d804e26a6b1c5 |
completed | May 18, 2026, 8:27 p.m. |
Created at: April 17, 2026, 3:08 p.m.