Triple
T9711016
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aalto |
E235021
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Saara Aalto |
E816839
|
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: Saara Aalto | Statement: [Aalto, hasNotableBearer, Saara Aalto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saara Aalto Context triple: [Aalto, hasNotableBearer, Saara Aalto]
-
A.
Saara Aalto
chosen
Saara Aalto is a Finnish singer, songwriter, and voice actress best known internationally for her appearances on The X Factor UK and the Eurovision Song Contest.
-
B.
Aulikki Olsen
Aulikki Olsen is known as the wife of American engineer and Digital Equipment Corporation co-founder Ken Olsen.
-
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.
Aino Kallio
Aino Kallio was the wife of renowned Finnish poet and national romantic figure Eino Leino.
-
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_69ca84cd8fa0819090a5e243ceb37003 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e0591208190aa57cc9e2aebafb7 |
completed | April 1, 2026, 10:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1af9d6f148190b157cc7a0f91b387 |
completed | April 5, 2026, 12:41 a.m. |
Created at: March 30, 2026, 8:19 p.m.