Triple
T22262563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kjell Eliassen |
E550264
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Kjell |
—
|
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: Kjell | Statement: [Kjell Eliassen, givenName, Kjell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kjell Context triple: [Kjell Eliassen, givenName, Kjell]
-
A.
Kjell
chosen
Kjell is a Scandinavian male given name, particularly common in Sweden and Norway.
-
B.
Kjell Jansson
Kjell Jansson is a Swedish politician and member of the Moderate Party who has served in the Riksdag.
-
C.
Kjeld
Kjeld is a masculine given name, primarily used in Scandinavian and German-speaking countries, that is a variant of the name Kjell.
-
D.
Kalle
Kalle is a common diminutive form of the given name Karl, especially used in Germanic and Nordic countries.
-
E.
Kjell Ödeen
Kjell Ödeen was a Swedish architect best known for designing major public buildings such as the Scandinavium arena 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_69e11e42adb8819087714772ea606709 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f141b94a688190b17c55477993a745 |
completed | April 28, 2026, 11:24 p.m. |
Created at: April 16, 2026, 8:39 p.m.