Triple
T18164006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ophelia |
E434842
|
entity |
| Predicate | recording artist nationality |
P3285
|
FINISHED |
| Object | Canadian-American |
—
|
LITERAL 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: Canadian-American | Statement: [Ophelia, recording artist nationality, Canadian-American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recording artist nationality Context triple: [Ophelia, recording artist nationality, Canadian-American]
-
A.
primaryArtistNationality
Indicates the nationality associated with the main or primary artist involved in a work or context.
-
B.
performingArtistNationality
chosen
Indicates the nationality or country of origin of the artist who performs a given work or performance.
-
C.
associated artist nationality
Indicates the country or nationality with which an artist connected to the subject is identified.
-
D.
featuredArtistNationality
Indicates the nationality associated with an artist who is prominently featured in a work or event.
-
E.
recordCountry
Indicates that an entity (such as a record or event) is associated with or originates from a specific country.
- F. None of above.
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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dec55a088190868ee0b0a310fefb |
completed | April 19, 2026, 1:55 p.m. |
| PD | Predicate disambiguation | batch_69e4331baeb88190b21f50a98c36c78e |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:30 a.m.