Triple
T21440661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twenty |
E528930
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Berneice |
—
|
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: Berneice | Statement: [Twenty, hasTrack, Berneice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berneice Context triple: [Twenty, hasTrack, Berneice]
-
A.
Arthurette
Arthurette is a small rural community located in Victoria County in the Canadian province of New Brunswick.
-
B.
Bernise
chosen
Bernise is a feminine given name, typically considered a variant spelling of Bernice.
-
C.
Willemina
Willemina is a feminine given name of Dutch origin, historically borne by figures such as Willemina Jacoba van Gogh, the sister of painter Vincent van Gogh.
-
D.
Bernardine
Bernardine is a 1957 musical comedy film starring Pat Boone in one of his early leading screen roles.
-
E.
Berneuse
Berneuse is a mountain peak above Leysin in the Swiss Alps, known for its panoramic views and the revolving Kuklos restaurant at its summit.
- 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_69e0c4569fa081908101baa24f8745db |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e8b70101208190a77bf5dd53dce37a |
completed | April 22, 2026, 11:54 a.m. |
Created at: April 16, 2026, 6:05 p.m.