Triple
T28923816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ten Little Niggers |
E733589
|
entity |
| Predicate | hasMotivePattern |
P65262
|
FINISHED |
| Object | punishment of past unprosecuted crimes |
—
|
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: punishment of past unprosecuted crimes | Statement: [Ten Little Niggers, hasMotivePattern, punishment of past unprosecuted crimes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMotivePattern Context triple: [Ten Little Niggers, hasMotivePattern, punishment of past unprosecuted crimes]
-
A.
hasMotiveElement
Indicates that one entity includes, specifies, or is characterized by a particular motive-related component or factor in a broader relationship or action.
-
B.
hasMotiveContext
Indicates that there is contextual information explaining the reasons or motivations behind an action, event, or relationship.
-
C.
hasMotiveTheme
chosen
Indicates that an action, event, or situation is associated with a central motivating theme or underlying driving idea.
-
D.
hasMotiveOfCriminals
Indicates that the specified motive is attributed to or associated with the criminals in question.
-
E.
hasTypeOfMotif
Indicates that one entity features or is characterized by a specific kind or category of motif.
- 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_69f05b0a5cc0819094828367ae204b70 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
Created at: April 28, 2026, 8:22 a.m.