Triple
T2802573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Helsinki |
E53179
|
entity |
| Predicate | hasNotableAlumnus |
P51
|
FINISHED |
| Object |
A. I. Virtanen
A. I. Virtanen was a Finnish biochemist and Nobel laureate renowned for his research on agricultural chemistry and the preservation of fodder.
|
E300409
|
NE FINISHED |
How this triple was built (4 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: A. I. Virtanen | Statement: [University of Helsinki, hasNotableAlumnus, A. I. Virtanen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: A. I. Virtanen Context triple: [University of Helsinki, hasNotableAlumnus, A. I. Virtanen]
-
A.
Hannu Heikkinen
Hannu Heikkinen is a structural engineer known for his work on the design and construction of Toronto City Hall.
-
B.
Bertil Huttunen
Bertil Huttunen was an architect associated with the design of Toronto City Hall.
-
C.
Erkki Tuomioja
Erkki Tuomioja is a Finnish politician and long-serving Social Democratic Party member who has held multiple ministerial posts, including Minister for Foreign Affairs.
-
D.
Hjalmar Siilasvuo
Hjalmar Siilasvuo was a Finnish general renowned for his leadership in key Winter War battles against the Soviet Union, which made him one of Finland’s most celebrated military commanders.
-
E.
Seppo Valjus
Seppo Valjus is an architect known for his work on Toronto City Hall.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: A. I. Virtanen Triple: [University of Helsinki, hasNotableAlumnus, A. I. Virtanen]
Generated description
A. I. Virtanen was a Finnish biochemist and Nobel laureate renowned for his research on agricultural chemistry and the preservation of fodder.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: A. I. Virtanen Target entity description: A. I. Virtanen was a Finnish biochemist and Nobel laureate renowned for his research on agricultural chemistry and the preservation of fodder.
-
A.
Hannu Heikkinen
Hannu Heikkinen is a structural engineer known for his work on the design and construction of Toronto City Hall.
-
B.
Bertil Huttunen
Bertil Huttunen was an architect associated with the design of Toronto City Hall.
-
C.
Erkki Tuomioja
Erkki Tuomioja is a Finnish politician and long-serving Social Democratic Party member who has held multiple ministerial posts, including Minister for Foreign Affairs.
-
D.
Hjalmar Siilasvuo
Hjalmar Siilasvuo was a Finnish general renowned for his leadership in key Winter War battles against the Soviet Union, which made him one of Finland’s most celebrated military commanders.
-
E.
Seppo Valjus
Seppo Valjus is an architect known for his work on Toronto City Hall.
- F. None of above. chosen
Provenance (5 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abde12b33481908b276760a922db9c |
completed | March 7, 2026, 8:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc671964c81908cff1cfbd70c3786 |
completed | March 10, 2026, 7:21 a.m. |
| NEDg | Description generation | batch_69afcb9f73588190852ec35db9d9a7fd |
completed | March 10, 2026, 7:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afcc0ddc188190a0d79974701556dd |
completed | March 10, 2026, 7:45 a.m. |
Created at: March 6, 2026, 9:58 p.m.