Triple
T2615255
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christian |
E58871
|
entity |
| Predicate | hasVariantForm |
P457
|
FINISHED |
| Object | Kristjan |
E203472
|
NE FINISHED |
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: Kristjan | Statement: [Christian, hasVariantForm, Kristjan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kristjan Context triple: [Christian, hasVariantForm, Kristjan]
-
A.
Jóhan
Jóhan is a given name, primarily used in Faroese and other Nordic contexts, that corresponds to the name Johan.
-
B.
Geir
Geir is a masculine given name of Old Norse origin, commonly used in Scandinavian countries and meaning "spear."
-
C.
Ólafur
Ólafur is an Icelandic given name, equivalent to the Old Norse name Óláfr and commonly borne by men in Iceland.
-
D.
Kristian
chosen
Kristian is a given name notably borne by Lauri Kristian Relander, the second President of Finland.
-
E.
Einar
Einar is a masculine given name of Norse origin commonly used in Scandinavian countries.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ab4ac444dc819099614e534dd6021f |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd87fb87c819093b02c67c76d51fd |
completed | March 7, 2026, 7:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af98b50fa08190abe65b53081cb06b |
completed | March 10, 2026, 4:06 a.m. |
Created at: March 6, 2026, 9:50 p.m.