Triple
T21856260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siv Jensen |
E539634
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Jensen |
—
|
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: Jensen | Statement: [Siv Jensen, familyName, Jensen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jensen Context triple: [Siv Jensen, familyName, Jensen]
-
A.
Jensen
chosen
Jensen is a Scandinavian-origin surname and given name, most commonly associated with Danish and Norwegian patronymic naming traditions.
-
B.
Jensen
Jensen is the wisecracking, tech-savvy hacker and communications expert on the black-ops team in the action film "The Losers" (2010).
-
C.
Jensen
Jensen is a key crew member aboard the Cloverfield space station in the science fiction horror film "The Cloverfield Paradox," whose actions and fate are central to the movie’s interdimensional crisis.
-
D.
Jenson
Jenson is a given name and surname of English origin, commonly used as a variant spelling of Jensen.
-
E.
Menzlin
Menzlin is a small locality in northeastern Germany, historically part of Pomerania.
- 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_69e0c47829648190bbe2d1d7033768ec |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0d636dc708190be34bb7ea526cfac |
completed | April 28, 2026, 3:45 p.m. |
Created at: April 16, 2026, 6:56 p.m.