Triple
T8043499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Negro Period |
E187490
|
entity |
| Predicate | hasCriticalIssue |
P12603
|
FINISHED |
| Object | cultural appropriation |
—
|
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: cultural appropriation | Statement: [Negro Period, hasCriticalIssue, cultural appropriation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCriticalIssue Context triple: [Negro Period, hasCriticalIssue, cultural appropriation]
-
A.
hasPriorityIssue
Indicates that an entity is associated with an issue that is marked as high or urgent priority.
-
B.
hasCriticalView
Indicates that one entity holds a negative, skeptical, or evaluative stance toward another entity, often highlighting flaws, problems, or points of disagreement.
-
C.
hasNotableIssue
Indicates that an entity is associated with a significant problem, concern, or defect that is noteworthy or exceptional compared to typical cases.
-
D.
hasInternalIssue
Indicates that an entity is experiencing a problem, fault, or malfunction originating within itself or its internal components or processes.
-
E.
hasKeyIssue
chosen
Indicates that an entity is associated with a primary or central problem, concern, or topic of importance.
- 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_69ca82b00cb48190b59a300f70e97bd7 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f4b5e0c819092949af0f995b850 |
completed | March 31, 2026, 3:28 a.m. |
| PD | Predicate disambiguation | batch_69cb049688208190b32088bd2c5930bc |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:23 p.m.