Triple
T18896633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timo Salonen |
E462225
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Salonen |
—
|
NE NERFINISHED |
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: Salonen | Statement: [Timo Salonen, familyName, Salonen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Salonen Context triple: [Timo Salonen, familyName, Salonen]
-
A.
Salonen
chosen
Salonen is a Finnish surname most prominently associated with Esa-Pekka Salonen, the renowned conductor and composer.
-
B.
Sala
Sala is a character in Hunter S. Thompson’s novel (and its film adaptation) "The Rum Diary," set in Puerto Rico’s chaotic world of expatriate journalists and corrupt businessmen.
-
C.
Sala
Sala is a small historic town in central Sweden known for its former silver mine and well-preserved wooden architecture.
-
D.
Aulenti
Aulenti is an Italian surname most notably associated with Gae Aulenti, a renowned architect and designer known for her influential museum and exhibition spaces.
-
E.
Maarintalo
Maarintalo is a notable building located in the Otaniemi campus area of Espoo, Finland, associated with Aalto University.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c47f6c948190918ade08bb88f1fd |
completed | April 20, 2026, 6:15 a.m. |
Created at: April 10, 2026, 11:58 a.m.