Triple
T13058370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isie Krige |
E327637
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Krige |
E928654
|
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: Krige | Statement: [Isie Krige, familyName, Krige]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krige Context triple: [Isie Krige, familyName, Krige]
-
A.
Krige
chosen
Krige is a surname of Afrikaans origin borne by several notable South African figures in literature, sports, and public life.
-
B.
Slagsvold
Slagsvold is a Norwegian surname borne by various notable individuals, including figures in academia, politics, and public life.
-
C.
Solbo
Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
-
D.
Rygaard
Rygaard is a Danish surname most notably borne by professional footballer Markus Rygaard.
-
E.
Kvam
Kvam is a municipality in Vestland county, western Norway, known for its scenic location along the Hardangerfjord and traditional fruit farming.
- 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_69d8076e64308190904fb5c93517c901 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980be37208190962e91f1e19df159 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbe0bf3081909ff498ac66cb2aa6 |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:58 p.m.