Triple
T29098557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doub |
E735075
|
entity |
| Predicate | helpsIlluminate |
P166546
|
FINISHED |
| Object | social and economic struggles of working-class Black Americans |
—
|
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: social and economic struggles of working-class Black Americans | Statement: [Doub, helpsIlluminate, social and economic struggles of working-class Black Americans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helpsIlluminate Context triple: [Doub, helpsIlluminate, social and economic struggles of working-class Black Americans]
-
A.
illuminate
Indicates causing something to emit or reflect light so that it becomes visible or better lit.
-
B.
helpsIn
Indicates that one entity provides assistance, support, or aid to another entity in performing or achieving a particular task, activity, or goal.
-
C.
illuminationPurpose
Indicates that one entity serves the purpose of providing light or illumination for another entity or context.
-
D.
helpedDiscover
Indicates that one entity assisted another entity in the process of discovering or uncovering something.
-
E.
featuresLightingBy
Indicates that something includes or showcases lighting created, provided, or designed by a specified entity.
- F. None of above. chosen
Provenance (4 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_69f05b0ed66481908f2e864fa550d2f1 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f6622808b48190bbabcc75288ab031 |
completed | May 2, 2026, 8:44 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
| PDg | Predicate description generation | batch_69f6617a7e7c81908cfac4a2250797ee |
completed | May 2, 2026, 8:41 p.m. |
Created at: April 28, 2026, 11:10 a.m.