Triple
T1845971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ahti Karjalainen |
E41283
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Karjalainen |
E41283
|
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: Karjalainen | Statement: [Ahti Karjalainen, familyName, Karjalainen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karjalainen Context triple: [Ahti Karjalainen, familyName, Karjalainen]
-
A.
Jaakko
Jaakko is a Finnish given name, equivalent to the English name James.
-
B.
Kullervo Manner
Kullervo Manner was a Finnish socialist politician and leader of the Finnish People's Delegation who served as the political head of the Red side during the Finnish Civil War.
-
C.
Ahti Karjalainen
chosen
Ahti Karjalainen was a prominent Finnish politician and economist who served multiple terms as Finland’s prime minister and held several key ministerial posts during the mid-20th century.
-
D.
Terjola
Terjola is a small city in western Georgia known for its location in the Imereti region and its surrounding wine-producing areas.
-
E.
Selke
The Selke is a river in central Germany that flows through the Harz Mountains and Saxony-Anhalt, known for its scenic valleys and historic towns along its course.
- 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_69a88648cd44819093303206d96d76ad |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb051640c819088a8b28a03f57331 |
completed | March 7, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69add1c6941081909cef987ebe4b4d6c |
completed | March 8, 2026, 7:45 p.m. |
Created at: March 4, 2026, 7:33 p.m.