Triple
T9529738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taneli Kekkonen |
E229855
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object |
Kirsti Paakkanen
Kirsti Paakkanen was a prominent Finnish businesswoman best known for revitalizing and leading the iconic design company Marimekko.
|
E804985
|
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: Kirsti Paakkanen | Statement: [Taneli Kekkonen, relative, Kirsti Paakkanen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kirsti Paakkanen Context triple: [Taneli Kekkonen, relative, Kirsti Paakkanen]
-
A.
Mari Kiviniemi
Mari Kiviniemi is a Finnish politician who served as Prime Minister of Finland and leader of the Centre Party in the early 2010s.
-
B.
Johanna Luukkonen
Johanna Luukkonen is a Finnish public administrator who has served as the municipal manager of the town of Laitila in Southwest Finland.
-
C.
Jenni Haukio
Jenni Haukio is a Finnish poet and political scientist who served as the First Lady of Finland during Sauli Niinistö’s presidency.
-
D.
Mari Leppänen
Mari Leppänen is a Finnish Lutheran prelate who serves as a leading bishop in the Evangelical Lutheran Church of Finland.
-
E.
Anna Halonen
Anna Halonen is the daughter of Tarja Halonen, the former President of Finland.
- 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: Kirsti Paakkanen Triple: [Taneli Kekkonen, relative, Kirsti Paakkanen]
Generated description
Kirsti Paakkanen was a prominent Finnish businesswoman best known for revitalizing and leading the iconic design company Marimekko.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kirsti Paakkanen Target entity description: Kirsti Paakkanen was a prominent Finnish businesswoman best known for revitalizing and leading the iconic design company Marimekko.
-
A.
Mari Kiviniemi
Mari Kiviniemi is a Finnish politician who served as Prime Minister of Finland and leader of the Centre Party in the early 2010s.
-
B.
Johanna Luukkonen
Johanna Luukkonen is a Finnish public administrator who has served as the municipal manager of the town of Laitila in Southwest Finland.
-
C.
Jenni Haukio
Jenni Haukio is a Finnish poet and political scientist who served as the First Lady of Finland during Sauli Niinistö’s presidency.
-
D.
Mari Leppänen
Mari Leppänen is a Finnish Lutheran prelate who serves as a leading bishop in the Evangelical Lutheran Church of Finland.
-
E.
Anna Halonen
Anna Halonen is the daughter of Tarja Halonen, the former President of Finland.
- 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_69ca8479934c81908006d0e6e970ae05 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98b2de3081909be70d9ab187dce6 |
completed | April 1, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c38a3848190ab3561f70497c9eb |
completed | April 4, 2026, 5:36 p.m. |
| NEDg | Description generation | batch_69d14d23573c8190aeebf2fdac20a332 |
completed | April 4, 2026, 5:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d14da4514481908a530b5d77ad832a |
completed | April 4, 2026, 5:43 p.m. |
Created at: March 30, 2026, 8 p.m.