Triple
T22235832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristoffersen |
E549589
|
entity |
| Predicate | derivedFromGivenName |
P17
|
FINISHED |
| Object | Kristoffer |
—
|
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: Kristoffer | Statement: [Kristoffersen, derivedFromGivenName, Kristoffer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kristoffer Context triple: [Kristoffersen, derivedFromGivenName, Kristoffer]
-
A.
Kristoffer
chosen
Kristoffer is the given name of Kris Kristofferson, the American singer-songwriter, actor, and country music icon.
-
B.
Christoffer
Christoffer is a masculine given name of Scandinavian and Germanic origin, commonly used in Sweden and other Nordic countries.
-
C.
Kristian
Kristian is a given name notably borne by Lauri Kristian Relander, the second President of Finland.
-
D.
Kristoffer Berntsson
Kristoffer Berntsson is a Swedish former competitive figure skater known for his international appearances and multiple national medals.
-
E.
Kristoffer Ajer
Kristoffer Ajer is a Norwegian professional footballer, primarily a central defender, known for his time with Celtic and the Norway national teams.
- 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.