Triple
T16735771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laurens Jan Brinkhorst |
E406712
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Brinkhorst |
E1159922
|
NE FINISHED |
How this triple was built (2 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: Brinkhorst | Statement: [Laurens Jan Brinkhorst, familyName, Brinkhorst]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brinkhorst Context triple: [Laurens Jan Brinkhorst, familyName, Brinkhorst]
-
A.
Brinkhorst
chosen
Brinkhorst is the Dutch family name of Princess Laurentien of the Netherlands, associated with a prominent political and aristocratic lineage.
-
B.
Westerbroek
Westerbroek is a village in the Dutch province of Groningen, known for its rural character and surrounding peat and nature areas.
-
C.
Bredevoort
Bredevoort is a small historic town in the Dutch province of Gelderland, known for its well-preserved medieval character and its reputation as a national "book town."
-
D.
Harskamp
Harskamp is a village in the Dutch province of Gelderland, known for its rural character and proximity to the Hoge Veluwe National Park.
-
E.
Steenbergen
Steenbergen is a municipality and town in the Dutch province of North Brabant, known for its rural landscape and proximity to several major waterways.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e39c39c570819088723d59242c5c5c |
completed | April 18, 2026, 2:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d4ea8208190aed0a4014a10d120 |
completed | May 10, 2026, 2:59 p.m. |
Created at: April 10, 2026, 5:20 a.m.