Triple
T22972344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dark Testament and Other Poems |
E571220
|
entity |
| Predicate | hasCreatorEthnicityOfAuthor |
P115789
|
FINISHED |
| Object | African-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: African-American | Statement: [Dark Testament and Other Poems, hasCreatorEthnicityOfAuthor, African-American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCreatorEthnicityOfAuthor Context triple: [Dark Testament and Other Poems, hasCreatorEthnicityOfAuthor, African-American]
-
A.
creatorEthnicityOfAuthor
chosen
Indicates that the specified ethnicity is attributed to the creator who is the author of the referenced work or entity.
-
B.
coAuthorEthnicity
Indicates that two or more co-authors share a specified ethnic background or that an author's ethnicity is being related to their co-authorship on a work.
-
C.
artistEthnicity
Indicates that an artist has a specific ethnic background or affiliation.
-
D.
hasAuthorCulturalIdentity
Indicates that an author is associated with a particular cultural identity or background.
-
E.
authorNationality
Indicates the relationship between an author and the country or nationality with which that author 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_69e245b2c6548190a0e4c7f2f7df2d48 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182343a448190a5259cdf721c9d04 |
completed | April 29, 2026, 3:59 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9101f48190a06c69dff26c6441 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:48 p.m.