Triple
T8223915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Els Borst |
E192131
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Borst |
E192131
|
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: Borst | Statement: [Els Borst, familyName, Borst]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Borst Context triple: [Els Borst, familyName, Borst]
-
A.
Bonte
Bonte is a German surname most notably borne by Friedrich Bonte, a Kriegsmarine officer during World War II.
-
B.
Borz
Borz is the nickname of Khamzat Chimaev, a dominant Chechen-born mixed martial artist competing in the UFC.
-
C.
Borzna
Borzna is a historic town in northern Ukraine, known as a former regional center within various administrative divisions over the centuries.
-
D.
Bortus
Bortus is a stoic, duty-bound Moclan officer serving as second-in-command aboard the exploratory spaceship in the sci-fi comedy series "The Orville."
-
E.
Els Borst
chosen
Els Borst was a Dutch politician and physician best known for serving as Minister of Health and for her leading role in legalizing euthanasia in the Netherlands.
- 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_69ccee0fd9d0819094350c9c7887cabe |
completed | April 1, 2026, 10:06 a.m. |
Created at: March 30, 2026, 5:45 p.m.