Triple
T17784689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pipilotti Rist |
E443986
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Rist |
—
|
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: Rist | Statement: [Pipilotti Rist, familyName, Rist]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rist Context triple: [Pipilotti 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.
Rista
Rista is a traditional Kashmiri meat dish of finely pounded mutton balls cooked in a rich, spiced red gravy, commonly served as part of the elaborate Wazwan feast.
-
E.
Rylsk
Rylsk is a historic town that once served as the political and administrative center of the medieval Principality of Rylsk in Eastern 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_69d8b9ef17708190bdf7e2adbf14ddc2 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48791dec0819090d6e88449389fc0 |
completed | April 19, 2026, 7:43 a.m. |
Created at: April 10, 2026, 10:12 a.m.