Triple
T268891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alright |
E5582
|
entity |
| Predicate | hasArtistNationality |
P6218
|
FINISHED |
| Object | 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: American | Statement: [Alright, hasArtistNationality, American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArtistNationality Context triple: [Alright, hasArtistNationality, American]
-
A.
performingArtistNationality
Indicates the nationality or country of origin of the artist who performs a given work or performance.
-
B.
authorNationality
Indicates the relationship between an author and the country or nationality with which that author is identified.
-
C.
creatorNationality
chosen
Indicates that the creator of an entity has a specified national affiliation or citizenship.
-
D.
notableMemberNationality
Indicates that the notable member of a group or organization has the specified nationality.
-
E.
notableArtist
Indicates that the subject is an artist who is widely recognized or distinguished for their work.
- 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_69a25853594c8190b05ec3a586ec88bf |
completed | Feb. 28, 2026, 2:52 a.m. |
| NER | Named-entity recognition | batch_69a25dae4a0c8190a66cf6ed3889851c |
completed | Feb. 28, 2026, 3:14 a.m. |
| PD | Predicate disambiguation | batch_69a25b70d99c819085d8381a313a2a34 |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 2:57 a.m.