Triple
T8224040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pieter Sjoerds Gerbrandy |
E192133
|
entity |
| Predicate | precededBy |
P97
|
FINISHED |
| Object | Dirk Jan de Geer |
E282391
|
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: Dirk Jan de Geer | Statement: [Pieter Sjoerds Gerbrandy, precededBy, Dirk Jan de Geer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dirk Jan de Geer Context triple: [Pieter Sjoerds Gerbrandy, precededBy, Dirk Jan de Geer]
-
A.
Dirk Jan de Geer
chosen
Dirk Jan de Geer was a Dutch politician who served twice as Prime Minister of the Netherlands, most notably during the early years of World War II.
-
B.
Jurriaan de Jonge
Jurriaan de Jonge is an individual notable enough to be specifically cited as a bearer of the Dutch surname "de Jonge."
-
C.
Piet de Jong
Piet de Jong was a Dutch politician who served as Prime Minister of the Netherlands from 1967 to 1971.
-
D.
Hendrik de Vries
Hendrik de Vries was a mathematician who supervised and mentored the influential algebraist Bartel Leendert van der Waerden.
-
E.
Gerrit Grijns
Gerrit Grijns was a Dutch physician and physiologist known for his pioneering work on nutritional deficiency diseases, particularly in clarifying the role of vitamins in preventing beriberi.
- 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_69ca82c9a8ac81908b011c38698456e4 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb77cc351481908d7dcd6d3d15d59f |
completed | March 31, 2026, 7:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4d7ff2a88190964a272647245bdc |
completed | April 2, 2026, 11:05 a.m. |
Created at: March 30, 2026, 5:45 p.m.