Triple
T13305928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maarten ’t Hart |
E316935
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
De ortolaan
De ortolaan is a novel by Dutch author Maarten ’t Hart, known for its psychologically rich storytelling and exploration of human relationships.
|
E1032031
|
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: De ortolaan | Statement: [Maarten ’t Hart, notableWork, De ortolaan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De ortolaan Context triple: [Maarten ’t Hart, notableWork, De ortolaan]
-
A.
De Akkers
De Akkers is a metro station in Spijkenisse, Netherlands, serving as a terminus on the Rotterdam Metro network.
-
B.
Oversticht
Oversticht was a medieval territorial region in the northern Low Countries that roughly corresponds to much of the modern Dutch province of Overijssel and surrounding areas.
-
C.
Driewegen
Driewegen is a small village in the Dutch province of Zeeland, located within the municipality of Borsele.
-
D.
De Kwakel
De Kwakel is a small village in the Dutch province of North Holland, known for its rural character and proximity to the town of Uithoorn.
-
E.
Land van Rijen
Land van Rijen is a historical region within Belgium’s Antwerp Province, known for its rural landscapes and traditional Flemish character.
- 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: De ortolaan Triple: [Maarten ’t Hart, notableWork, De ortolaan]
Generated description
De ortolaan is a novel by Dutch author Maarten ’t Hart, known for its psychologically rich storytelling and exploration of human relationships.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: De ortolaan Target entity description: De ortolaan is a novel by Dutch author Maarten ’t Hart, known for its psychologically rich storytelling and exploration of human relationships.
-
A.
De Akkers
De Akkers is a metro station in Spijkenisse, Netherlands, serving as a terminus on the Rotterdam Metro network.
-
B.
Oversticht
Oversticht was a medieval territorial region in the northern Low Countries that roughly corresponds to much of the modern Dutch province of Overijssel and surrounding areas.
-
C.
Driewegen
Driewegen is a small village in the Dutch province of Zeeland, located within the municipality of Borsele.
-
D.
De Kwakel
De Kwakel is a small village in the Dutch province of North Holland, known for its rural character and proximity to the town of Uithoorn.
-
E.
Land van Rijen
Land van Rijen is a historical region within Belgium’s Antwerp Province, known for its rural landscapes and traditional Flemish character.
- 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_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990a76adc8190ab9abcdb79a21ca8 |
completed | April 11, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716e3617081909eea9989cf5e7b30 |
completed | May 3, 2026, 9:35 a.m. |
| NEDg | Description generation | batch_69f7179da5488190a10acadbf60ea470 |
completed | May 3, 2026, 9:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f71847e7308190ac6f59a7dcafa452 |
completed | May 3, 2026, 9:41 a.m. |
Created at: April 9, 2026, 9:28 p.m.