Triple
T20997588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saskia Boddeke |
E517189
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Saskia Boddeke |
—
|
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 Boddeke | Statement: [Saskia Boddeke, name, Saskia Boddeke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saskia Boddeke Context triple: [Saskia Boddeke, name, Saskia Boddeke]
-
A.
Saskia Boddeke
chosen
Saskia Boddeke is a Dutch multimedia artist and director known for her immersive installations, opera stagings, and frequent collaborations with filmmaker Peter Greenaway.
-
B.
Saskia de Jonge
Saskia de Jonge is a Dutch former competitive swimmer who specialized in freestyle events and represented the Netherlands in international competitions, including the Olympic Games.
-
C.
Maayke Velders
Maayke Velders is known primarily as the spouse of Dutch naval hero Michiel de Ruyter.
-
D.
Marjolein Beumer
Marjolein Beumer is a Dutch actress and screenwriter, known for her work in film and television and for being part of a prominent artistic family.
-
E.
Sabine Theunissen
Sabine Theunissen is a stage and set designer known for her work on major opera and theater productions, including co-designing the production of Shostakovich’s opera "The Nose."
- 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.