Triple
T20997589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saskia Boddeke |
E517189
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Saskia |
—
|
NE NERFINISHED |
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: Saskia | Statement: [Saskia Boddeke, givenName, Saskia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saskia Context triple: [Saskia Boddeke, givenName, Saskia]
-
A.
Saskia
chosen
Saskia is a female given name of Germanic origin, most famously borne by Saskia van Uylenburgh, the wife and frequent model of the Dutch painter Rembrandt.
-
B.
Marloes
Marloes is a coastal village in Pembrokeshire, Wales, known for its dramatic cliffs, nearby islands rich in wildlife, and scenic seaside landscapes.
-
C.
Catharina
Catharina of Württemberg was a 19th-century German princess who became Queen consort of Westphalia through her marriage to Jérôme Bonaparte, Napoleon’s youngest brother.
-
D.
Catharina
Catharina is a feminine given name of Greek origin, commonly used in various European cultures and often associated with historical and religious figures.
-
E.
Hedvig
Hedvig is a Scandinavian female given name, historically borne by several notable women in Swedish and broader Nordic royalty and nobility.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc22ca6081908bf054ddcfea9e19 |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:51 p.m.