Triple
T21380271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donald Tokowitz |
E527331
|
entity |
| Predicate | causeOfSanction |
P42046
|
FINISHED |
| Object | racist remarks recorded and made public in 2014 |
—
|
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: racist remarks recorded and made public in 2014 | Statement: [Donald Tokowitz, causeOfSanction, racist remarks recorded and made public in 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfSanction Context triple: [Donald Tokowitz, causeOfSanction, racist remarks recorded and made public in 2014]
-
A.
reasonForPunishment
Indicates that one entity is the cause, justification, or grounds for another entity receiving a punishment.
-
B.
reasonForSanctions
chosen
Indicates the underlying cause or justification for imposing sanctions on an entity.
-
C.
reasonForBan
Indicates the justification or cause that led to an entity being banned.
-
D.
causeStatus
Indicates that one entity brings about, initiates, or is responsible for a particular state or condition in another entity.
-
E.
causeOfLegalCondemnation
Indicates that one entity is the reason or basis for another entity being legally condemned, judged guilty, or subjected to legal penalties.
- 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_69e0b51f363c8190944000ab5523b02b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0cdab8c8190a7eebe6e5961ee75 |
completed | April 22, 2026, 11:28 a.m. |
| PD | Predicate disambiguation | batch_69e6162bbfc88190a3e75859941b2638 |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 5:11 p.m.