Triple
T19296755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veikko Vennamo |
E482585
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Veikko Vennamo |
—
|
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: Veikko Vennamo | Statement: [Veikko Vennamo, name, Veikko Vennamo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veikko Vennamo Context triple: [Veikko Vennamo, name, Veikko Vennamo]
-
A.
Veikko Vennamo
chosen
Veikko Vennamo was a Finnish politician best known for leading a populist movement that championed rural interests and challenged the traditional party establishment in Finland.
-
B.
Vilho Tuulos
Vilho Tuulos was a Finnish triple jumper and long jumper who won multiple Olympic medals in the early 20th century.
-
C.
Vilho Hirvensalo
Vilho Hirvensalo is a Finnish mathematician known for his work in computational complexity theory and quantum computing.
-
D.
Väinö Siikaniemi
Väinö Siikaniemi was a Finnish poet and translator known for his lyrical verse and contributions to early 20th-century Finnish literature.
-
E.
Väinö Kivilinna
Väinö Kivilinna was a Finnish chess player and problemist known for his contributions to Finnish chess composition and competition in the early 20th century.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc85e8988190a98bc291121f0153 |
completed | April 20, 2026, 10:14 a.m. |
Created at: April 10, 2026, 1:31 p.m.