Triple
T4588777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BIS Records |
E103432
|
entity |
| Predicate | recordLabelFor |
P53528
|
FINISHED |
| Object |
Osmo Vänskä
Osmo Vänskä is a Finnish conductor renowned for his interpretations of Sibelius and other Nordic composers, as well as for his long tenure as music director of the Minnesota Orchestra.
|
E455469
|
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: Osmo Vänskä | Statement: [BIS Records, recordLabelFor, Osmo Vänskä]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Osmo Vänskä Context triple: [BIS Records, recordLabelFor, Osmo Vänskä]
-
A.
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.
-
B.
Kalevi Sorsa
Kalevi Sorsa was a prominent Finnish Social Democratic politician who served multiple terms as Prime Minister of Finland and was a central figure in the country’s postwar political life.
-
C.
Seppo Valjus
Seppo Valjus is an architect known for his work on Toronto City Hall.
-
D.
Bertil Huttunen
Bertil Huttunen was an architect associated with the design of Toronto City Hall.
-
E.
Hannu Heikkinen
Hannu Heikkinen is a structural engineer known for his work on the design and construction of 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: Osmo Vänskä Triple: [BIS Records, recordLabelFor, Osmo Vänskä]
Generated description
Osmo Vänskä is a Finnish conductor renowned for his interpretations of Sibelius and other Nordic composers, as well as for his long tenure as music director of the Minnesota Orchestra.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Osmo Vänskä Target entity description: Osmo Vänskä is a Finnish conductor renowned for his interpretations of Sibelius and other Nordic composers, as well as for his long tenure as music director of the Minnesota Orchestra.
-
A.
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.
-
B.
Kalevi Sorsa
Kalevi Sorsa was a prominent Finnish Social Democratic politician who served multiple terms as Prime Minister of Finland and was a central figure in the country’s postwar political life.
-
C.
Seppo Valjus
Seppo Valjus is an architect known for his work on Toronto City Hall.
-
D.
Bertil Huttunen
Bertil Huttunen was an architect associated with the design of Toronto City Hall.
-
E.
Hannu Heikkinen
Hannu Heikkinen is a structural engineer known for his work on the design and construction of 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_69bd43dccaf08190aa89e9991a289719 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd62334e4081908ad7ad18d759663d |
completed | March 20, 2026, 3:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bde0b9f700819082b0e5171132d0f3 |
completed | March 21, 2026, 12:05 a.m. |
| NEDg | Description generation | batch_69bde31735a481909d005e6c44e2f114 |
completed | March 21, 2026, 12:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bde6d185088190b94580f53038d883 |
completed | March 21, 2026, 12:31 a.m. |
Created at: March 20, 2026, 1:11 p.m.