Triple
T8223912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Els Borst |
E192131
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Els 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: Els Borst | Statement: [Els Borst, name, Els Borst]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Els Borst Context triple: [Els Borst, name, Els Borst]
-
A.
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.
-
B.
Hawise
Hawise is a medieval European female given name borne by several noblewomen in England and France.
-
C.
Börje
Börje is a masculine given name of Swedish origin, notably borne by the legendary ice hockey player Börje Salming.
-
D.
Elbling
Elbling is an ancient white wine grape variety primarily cultivated in Germany and Luxembourg, known for producing light, crisp, and high-acidity wines.
-
E.
Baldwyn
Baldwyn is a masculine given name and surname of Old Germanic origin, historically associated with nobility and leadership.
- 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.