Triple
T29166436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Wall Street |
E739329
|
entity |
| Predicate | perpetratorGroupDescription |
P79113
|
FINISHED |
| Object | white mobs |
—
|
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: white mobs | Statement: [Black Wall Street, perpetratorGroupDescription, white mobs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: perpetratorGroupDescription Context triple: [Black Wall Street, perpetratorGroupDescription, white mobs]
-
A.
perpetratorDescription
chosen
Indicates that the subject provides a textual description or characterization of the perpetrator involved in an act or incident.
-
B.
perpetratorCommunity
Indicates that a community is responsible for committing or supporting the harmful act or offense in question.
-
C.
perpetratorType
Indicates the classification or category of the entity that carried out or is responsible for a harmful, illegal, or otherwise wrongful act.
-
D.
ethnicGroupOfKillers
Indicates that the specified ethnic group is identified as the group to which the killers belong.
-
E.
perpetratorAllegiance
Indicates that the perpetrator is affiliated with, loyal to, or acting on behalf of a particular group, organization, or cause.
- 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_69f07cb6394c8190ab7842c48e699e2a |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f6691f5e188190b12c7b2eb729a45e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f6659b62fc8190b21555d0ba54db2d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 11:50 a.m.