Triple
T19777645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norris v. Alabama |
E475044
|
entity |
| Predicate | partyRaceIssue |
P137298
|
FINISHED |
| Object | Black defendant |
—
|
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: Black defendant | Statement: [Norris v. Alabama, partyRaceIssue, Black defendant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partyRaceIssue Context triple: [Norris v. Alabama, partyRaceIssue, Black defendant]
-
A.
partyRaceContext
Indicates the contextual relationship between a party and a race, such as how a political party is involved in, associated with, or positioned within a particular electoral race.
-
B.
politicalIssueIn
Indicates that a political issue is relevant to, occurs within, or is associated with a particular geographic or political region.
-
C.
partyInElection
Indicates that a political party participates as a contestant or actor in a specific election.
-
D.
stanceOnRace
Indicates a subject’s expressed position, attitude, or viewpoint regarding race or racial issues.
-
E.
roleInRaces
Indicates the specific capacity or function an entity has within one or more races or racing events.
- F. None of above. chosen
Provenance (4 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65361a8e08190b52944aab25e45fa |
completed | April 20, 2026, 4:25 p.m. |
| PD | Predicate disambiguation | batch_69e53053ed2881908400becdfada7fd3 |
completed | April 19, 2026, 7:43 p.m. |
| PDg | Predicate description generation | batch_69e532bcf41c8190b685b5adf46a60fc |
completed | April 19, 2026, 7:53 p.m. |
Created at: April 10, 2026, 1:48 p.m.