Triple
T18633097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osmo Vänskä |
E455469
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Päivi Vänskä
Päivi Vänskä is known as the former spouse of Finnish conductor Osmo Vänskä.
|
E1334960
|
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: Päivi Vänskä | Statement: [Osmo Vänskä, spouse, Päivi Vänskä]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Päivi Vänskä Context triple: [Osmo Vänskä, spouse, Päivi Vänskä]
-
A.
Kirsti Paakkanen
Kirsti Paakkanen was a prominent Finnish businesswoman best known for revitalizing and leading the iconic design company Marimekko.
-
B.
Mari Leppänen
Mari Leppänen is a Finnish Lutheran prelate who serves as a leading bishop in the Evangelical Lutheran Church of Finland.
-
C.
Sofi Oksanen
Sofi Oksanen is a Finnish-Estonian author and playwright renowned for her politically charged novels exploring Eastern European history, memory, and trauma, such as the internationally acclaimed "Purge."
-
D.
Kari Jalonen
Kari Jalonen is a Finnish former professional ice hockey player and highly respected coach known for leading top European clubs and national teams.
-
E.
Anneli Jäätteenmäki
Anneli Jäätteenmäki is a Finnish politician who briefly served as Finland’s first female prime minister and later became a prominent Member and Vice-President of the European Parliament.
- 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: Päivi Vänskä Triple: [Osmo Vänskä, spouse, Päivi Vänskä]
Generated description
Päivi Vänskä is known as the former spouse of Finnish conductor Osmo Vänskä.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Päivi Vänskä Target entity description: Päivi Vänskä is known as the former spouse of Finnish conductor Osmo Vänskä.
-
A.
Kirsti Paakkanen
Kirsti Paakkanen was a prominent Finnish businesswoman best known for revitalizing and leading the iconic design company Marimekko.
-
B.
Mari Leppänen
Mari Leppänen is a Finnish Lutheran prelate who serves as a leading bishop in the Evangelical Lutheran Church of Finland.
-
C.
Sofi Oksanen
Sofi Oksanen is a Finnish-Estonian author and playwright renowned for her politically charged novels exploring Eastern European history, memory, and trauma, such as the internationally acclaimed "Purge."
-
D.
Kari Jalonen
Kari Jalonen is a Finnish former professional ice hockey player and highly respected coach known for leading top European clubs and national teams.
-
E.
Anneli Jäätteenmäki
Anneli Jäätteenmäki is a Finnish politician who briefly served as Finland’s first female prime minister and later became a prominent Member and Vice-President of the European Parliament.
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54fc5c7ec8190ab0c64f009583f96 |
completed | April 19, 2026, 9:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a050d7e812c8190ab055062a4479474 |
completed | May 13, 2026, 11:47 p.m. |
| NEDg | Description generation | batch_6a050fd68c8c8190a34253dd79090280 |
completed | May 13, 2026, 11:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05108fdea081909fd0a1ccdeaeb704 |
completed | May 14, 2026, midnight |
Created at: April 10, 2026, 11:46 a.m.