Triple
T15372258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | parish of Walls and Flotta |
E367578
|
entity |
| Predicate | civilParishFor |
P78401
|
FINISHED |
| Object | Rysa Little |
E1152471
|
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: Rysa Little | Statement: [parish of Walls and Flotta, civilParishFor, Rysa Little]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rysa Little Context triple: [parish of Walls and Flotta, civilParishFor, Rysa Little]
-
A.
Rysa Little
chosen
Rysa Little is a small uninhabited island in the Orkney archipelago of Scotland.
-
B.
Betsy Rue
Betsy Rue is an American actress best known for her roles in horror and thriller films, including her appearance in the slasher movie "My Bloody Valentine 3D."
-
C.
Milynn Sarley
Milynn Sarley is an American actress and internet personality known for her roles in low-budget fantasy and action films as well as her presence in online geek and gaming communities.
-
D.
Elizabeth Lail
Elizabeth Lail is an American actress best known for her roles in the TV series "You" and "Once Upon a Time."
-
E.
Linda Lea
Linda Lea is a television producer best known for creating the popular cooking competition show "Chopped."
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e5c1d548190930bfaf0861595ae |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff13457418819088232270b092c969 |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:18 a.m.