Triple
T37898136
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faith Goldy |
E945335
|
entity |
| Predicate | platformBanReason |
P25587
|
FINISHED |
| Object | violation of hate speech policies |
—
|
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: violation of hate speech policies | Statement: [Faith Goldy, platformBanReason, violation of hate speech policies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: platformBanReason Context triple: [Faith Goldy, platformBanReason, violation of hate speech policies]
-
A.
reasonForBan
chosen
Indicates the justification or cause that led to an entity being banned.
-
B.
bannedBy
Indicates that an entity is prohibited or disallowed as a result of a decision or action taken by another entity.
-
C.
wasBannedAs
Indicates that an entity was prohibited or barred from participation, access, or activity in a specific role, capacity, or status.
-
D.
bannedAfter
Indicates that one entity becomes prohibited or forbidden only after the occurrence or establishment of another specified entity or event.
-
E.
hostNationBan
Indicates that a host nation prohibits or restricts certain participants, activities, or entities from taking part in an event or from entering its territory.
- 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_69f76ef0e8708190987c7254ed8c7abe |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:19 p.m.