Triple
T22235834
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristoffersen |
E549589
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Christoffersen |
—
|
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: Christoffersen | Statement: [Kristoffersen, hasSpellingVariant, Christoffersen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christoffersen Context triple: [Kristoffersen, hasSpellingVariant, Christoffersen]
-
A.
Kristoffersen
chosen
Kristoffersen is a Norwegian surname most notably borne by Eirik Kristoffersen, a high-ranking military officer and current Chief of Defence of Norway.
-
B.
Karlssen
Karlssen is a Scandinavian-origin surname, likely a patronymic variant related to the more common name Carlson.
-
C.
Christiansen
Christiansen is a surname of Scandinavian origin borne by various individuals, including American television chef and author Sandra Lee.
-
D.
Thorkildsen
Thorkildsen is a Norwegian surname borne by various notable individuals across fields such as sports and politics.
-
E.
Christoffer
Christoffer is a masculine given name of Scandinavian and Germanic origin, commonly used in Sweden and other Nordic countries.
- 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12bf6d74c8190a1d8d8fc24a06bd1 |
completed | April 28, 2026, 9:51 p.m. |
Created at: April 16, 2026, 8:38 p.m.