Triple
T23220389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I.M. Skaugen |
E580872
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | I. M. Skaugen |
—
|
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: I. M. Skaugen | Statement: [I.M. Skaugen, hasNameInLanguage, I. M. Skaugen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I. M. Skaugen Context triple: [I.M. Skaugen, hasNameInLanguage, I. M. Skaugen]
-
A.
I.M. Skaugen
chosen
I.M. Skaugen was a Norwegian shipping magnate and entrepreneur known for his influential role in the global cruise and maritime industries.
-
B.
Henrik Uldalen
Henrik Uldalen is a contemporary Norwegian figurative painter known for his ethereal, dreamlike portraits that blend realism with surreal and abstract elements.
-
C.
Julius Skarlandt
Julius Skarlandt was a Czech sports official best known for leading the organization of the 1964 Winter Olympics in Innsbruck.
-
D.
Ragnar Hvidsten
Ragnar Hvidsten was a Norwegian footballer known for playing as a forward and representing Norway at the international level in the mid-20th century.
-
E.
Arvid Bjerke
Arvid Bjerke was a Swedish architect known for his significant contributions to early 20th-century architecture in Gothenburg.
- 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_69e2460389408190be74f41d217799a9 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1916870148190853874e6cf26bbc7 |
completed | April 29, 2026, 5:04 a.m. |
Created at: April 17, 2026, 4:08 p.m.