Triple
T36913969
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Layman |
E912991
|
entity |
| Predicate | workAuthorEthnicBackground |
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: [Layman, workAuthorEthnicBackground, African American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workAuthorEthnicBackground Context triple: [Layman, workAuthorEthnicBackground, 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.
hasBiographicalSubjectEthnicity
Indicates that the biographical subject is associated with a specific ethnicity.
-
E.
hasAuthorCulturalIdentity
Indicates that an author is associated with a particular cultural identity or background.
- 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_69f76e879768819085c2fb31a6a5b44b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fdc438348190bba1eba46dfad495 |
completed | May 5, 2026, 2:25 p.m. |
| PD | Predicate disambiguation | batch_69f7cf79ddb08190a083405cccc14137 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:13 p.m.