Triple
T25639929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawrence Russell Brewer |
E642809
|
entity |
| Predicate | raceOfVictim |
P130133
|
FINISHED |
| Object | African American |
—
|
NE NERFINISHED |
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: African American | Statement: [Lawrence Russell Brewer, raceOfVictim, African American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raceOfVictim Context triple: [Lawrence Russell Brewer, raceOfVictim, African American]
-
A.
raceRole
Indicates the specific role, position, or function an entity holds within a race or racing event.
-
B.
raceGroup
chosen
Indicates that the subject belongs to, or is categorized within, a particular racial or ethnic group.
-
C.
relatedRace
Indicates that there is a connection or association between two races, such as similarity, relevance, or contextual linkage.
-
D.
primaryPerpetratorEthnicity
Indicates the ethnic group to which the main individual responsible for an act or incident belongs.
-
E.
raceOfBearers
Indicates the racial or ethnic group to which the bearers (individuals or entities) belong.
- 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_69e77e7ce28081908b08d65ee6e5c8be |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fa64ed408190b9c1af4f9e345e73 |
completed | May 2, 2026, 1:21 p.m. |
| PD | Predicate disambiguation | batch_69f4938262ac8190b41f922d0407d272 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 21, 2026, 5:39 p.m.