Triple
T18225242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erik Magnus Staël von Holstein |
E436404
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Erik Magnus |
—
|
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: Erik Magnus | Statement: [Erik Magnus Staël von Holstein, givenName, Erik Magnus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erik Magnus Context triple: [Erik Magnus Staël von Holstein, givenName, Erik Magnus]
-
A.
Erik Asla
Erik Asla is a Norwegian photographer known for his fashion and commercial work, as well as his former relationship with model Tyra Banks.
-
B.
Charles Magnusson
Charles Magnusson was a pioneering Swedish film producer and studio executive who played a key role in the early development of Scandinavian cinema.
-
C.
Erik Werenskiold
Erik Werenskiold was a prominent Norwegian painter and illustrator known for his naturalistic landscapes and influential illustrations of Norwegian folk tales.
-
D.
Erik
chosen
Erik is a masculine given name of Scandinavian origin that is widely used across various European countries.
-
E.
Erik Eriksson
Erik Eriksson was a 13th-century King of Sweden, known for his long but politically turbulent reign during the early Middle Ages.
- 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_69d8b9103a8081908bbb0836fef10efd |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f4aeb4cc81908959413c368a2243 |
completed | April 19, 2026, 3:28 p.m. |
Created at: April 10, 2026, 10:32 a.m.