Triple
T14635468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Alexander |
E343592
|
entity |
| Predicate | workAuthorEthnicity |
P77479
|
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: [David Alexander, workAuthorEthnicity, African American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workAuthorEthnicity Context triple: [David Alexander, workAuthorEthnicity, African American]
-
A.
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.
-
B.
authorNationality
Indicates the relationship between an author and the country or nationality with which that author is identified.
-
C.
workAuthorIs
Indicates that a specific person or entity is the author or creator of a particular work.
-
D.
workOfAuthorOf
Indicates that one entity is a work (such as a book, article, or artwork) created by the author associated with another entity.
-
E.
hasAuthorCulturalIdentity
chosen
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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4ab9578819085b4cf7244d30d87 |
completed | April 14, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69de657359c88190b082e3e9f86fc1d7 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:26 a.m.