Triple
T4287417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Tampere |
E97302
|
entity |
| Predicate | commander |
P1061
|
FINISHED |
| Object | Hugo Salmela |
E104802
|
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: Hugo Salmela | Statement: [Battle of Tampere, commander, Hugo Salmela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hugo Salmela Context triple: [Battle of Tampere, commander, Hugo Salmela]
-
A.
Ali Aaltonen
chosen
Ali Aaltonen was a Finnish military officer who played a notable leadership role on the Red side during the Finnish Civil War.
-
B.
Joonas Suotamo
Joonas Suotamo is a Finnish actor and former professional basketball player best known for portraying Chewbacca in the Star Wars sequel trilogy and related films.
-
C.
Timo Suomalainen
Timo Suomalainen is a Finnish architect best known for co-designing Helsinki’s iconic rock-hewn Temppeliaukio Church with his brother Tuomo.
-
D.
Timo Toikkanen
Timo Toikkanen is a technology executive known for his leadership roles at Microsoft Mobile and in the broader mobile and software industries.
-
E.
Tuomas Kantelinen
Tuomas Kantelinen is a Finnish film composer known for his orchestral scores for both international and Finnish cinema.
- 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_69b3454595848190a0e6bbb6a2bea040 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3505ef9fc81909c73e64bf77052ce |
completed | March 12, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b7c8c1ac819086ded38c1abe9b63 |
completed | March 14, 2026, 7:32 p.m. |
Created at: March 12, 2026, 11:08 p.m.