Triple
T32460078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | African American women |
E829544
|
entity |
| Predicate | hasMediaStereotype |
P197366
|
FINISHED |
| Object | strong Black woman stereotype |
—
|
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: strong Black woman stereotype | Statement: [African American women, hasMediaStereotype, strong Black woman stereotype]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMediaStereotype Context triple: [African American women, hasMediaStereotype, strong Black woman stereotype]
-
A.
hasMediaAspect
Indicates that something possesses a particular media-related characteristic, format, or attribute.
-
B.
hasMediaAppearanceIn
Indicates that an entity appears or is featured as media content within a specified media work, program, or publication.
-
C.
hasMediatizedStatus
Indicates that an entity holds a status or condition that has been shaped, transformed, or influenced through media processes or representations.
-
D.
hasCommonMedia
Indicates that two entities share at least one media item (such as an image, video, or audio file) in common.
-
E.
hasAssociatedMedium
Indicates that one entity is linked to another entity that serves as its medium, format, or channel of expression or transmission.
- 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_69f3491df9288190afc0b23b1d6e72ce |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe8ddf70e48190a917eb9e8f7b6966 |
completed | May 9, 2026, 1:29 a.m. |
| PD | Predicate disambiguation | batch_69fe87ef94dc81909bb00ec8d6de9bcd |
completed | May 9, 2026, 1:03 a.m. |
| PDg | Predicate description generation | batch_69fe8dde8d008190b03dc0f97618073c |
completed | May 9, 2026, 1:29 a.m. |
Created at: May 1, 2026, 12:57 a.m.