Triple
T20138798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kersti Kaljulaid |
E491104
|
entity |
| Predicate | succeededBy |
P78
|
FINISHED |
| Object | Alar Karis |
—
|
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: Alar Karis | Statement: [Kersti Kaljulaid, succeededBy, Alar Karis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alar Karis Context triple: [Kersti Kaljulaid, succeededBy, Alar Karis]
-
A.
Alar Karis
chosen
Alar Karis is an Estonian biologist, academic leader, and former museum director who became the country’s head of state.
-
B.
Edgar Savisaar
Edgar Savisaar is an Estonian politician and founding figure of the post-Soviet Estonian state, known for leading the Popular Front of Estonia and serving in several top government roles.
-
C.
Arnold Rüütel
Arnold Rüütel is an Estonian politician who served as the country’s head of state around the time of its transition from Soviet rule to restored independence and later became President of Estonia.
-
D.
Ilmar Talve
Ilmar Talve was an Estonian-born ethnologist and writer renowned for his extensive research and collection of Finnish folklore and cultural history.
-
E.
Rainer Mahlamäki
Rainer Mahlamäki is a Finnish architect known for his contemporary public and cultural buildings, including major museum projects in Europe.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667698a188190869c18b925dba2ed |
completed | April 20, 2026, 5:50 p.m. |
Created at: April 11, 2026, 11:32 p.m.