Triple
T9529742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taneli Kekkonen |
E229855
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Anneli Jäätteenmäki |
E774238
|
NE FINISHED |
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: Anneli Jäätteenmäki | Statement: [Taneli Kekkonen, relative, Anneli Jäätteenmäki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anneli Jäätteenmäki Context triple: [Taneli Kekkonen, relative, Anneli Jäätteenmäki]
-
A.
Anneli Jäätteenmäki
chosen
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.
-
B.
Mari Leppänen
Mari Leppänen is a Finnish Lutheran prelate who serves as a leading bishop in the Evangelical Lutheran Church of Finland.
-
C.
Aino Kallio
Aino Kallio was the wife of renowned Finnish poet and national romantic figure Eino Leino.
-
D.
Johanna Luukkonen
Johanna Luukkonen is a Finnish public administrator who has served as the municipal manager of the town of Laitila in Southwest Finland.
-
E.
Kirsti Paakkanen
Kirsti Paakkanen was a prominent Finnish businesswoman best known for revitalizing and leading the iconic design company Marimekko.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d1612f86ac8190a19a2d17b25c08e6 |
completed | April 4, 2026, 7:06 p.m. |
Created at: March 30, 2026, 8 p.m.