Triple
T14634539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tish Rivers |
E343568
|
entity |
| Predicate | facesTheme |
P25955
|
FINISHED |
| Object | systemic racism |
—
|
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: systemic racism | Statement: [Tish Rivers, facesTheme, systemic racism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: facesTheme Context triple: [Tish Rivers, facesTheme, systemic racism]
-
A.
faceType
Indicates the specific shape or structural category of a face that an entity possesses or is characterized by.
-
B.
themeFor
chosen
Indicates that something serves as the central subject, topic, or focus for another thing (such as an event, work, or activity).
-
C.
PoseThemes
Indicates that a particular pose expresses, embodies, or is associated with certain thematic ideas or concepts.
-
D.
graphicsTheme
Indicates the visual style or design motif that characterizes how something is graphically presented or themed.
-
E.
faceButtonSymbols
Indicates the symbols or icons that appear on the primary (face) buttons of a controller or device.
- 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.