Triple
T14443184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olga Rist |
E358136
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Rist |
E443987
|
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: Rist | Statement: [Olga Rist, familyName, Rist]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rist Context triple: [Olga Rist, familyName, Rist]
-
A.
Rist
chosen
Rist is the surname of Swiss visual artist Pipilotti Rist, renowned for her innovative video art and immersive multimedia installations.
-
B.
Ris
Ris is a residential neighborhood in Oslo, Norway, known for its leafy streets, proximity to nature, and access via the Holmenkollen Line.
-
C.
Ristolas
Ristolas is a small mountain commune in the Hautes-Alpes department of southeastern France, situated in the Queyras region near the Italian border.
-
D.
Ritsem
Ritsem is a remote settlement in northern Sweden that serves as a key gateway for hikers and trekkers heading into the surrounding mountain areas, including Sarek National Park.
-
E.
Ranst
Ranst is a municipality in the Belgian province of Antwerp, known for its rural character and proximity to the city of Antwerp.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de915d28ec81909e72124e9dd67bfb |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bdd0f388190870ddd01f66d3e99 |
completed | May 8, 2026, 3:43 a.m. |
Created at: April 10, 2026, 1:19 a.m.