Triple
T21874481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WONDO |
E540095
|
entity |
| Predicate | hasMainArtistEthnicity |
P136184
|
FINISHED |
| Object | Mexican-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: Mexican-American | Statement: [WONDO, hasMainArtistEthnicity, Mexican-American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainArtistEthnicity Context triple: [WONDO, hasMainArtistEthnicity, Mexican-American]
-
A.
artistEthnicity
chosen
Indicates that an artist has a specific ethnic background or affiliation.
-
B.
primaryArtistNationality
Indicates the nationality associated with the main or primary artist involved in a work or context.
-
C.
performingArtistNationality
Indicates the nationality or country of origin of the artist who performs a given work or performance.
-
D.
featuredArtistNationality
Indicates the nationality associated with an artist who is prominently featured in a work or event.
-
E.
associated artist nationality
Indicates the country or nationality with which an artist connected to the subject is identified.
- 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_69e0c478f59081909d54302b57fc1ce3 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f0f338757c81908005bfedb52b03cc |
completed | April 28, 2026, 5:49 p.m. |
| PD | Predicate disambiguation | batch_69e6be9394f88190945ddd1dc004d29d |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 7:02 p.m.