Triple
T26572023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State of Alabama ex rel. John Patterson, Attorney General |
E666851
|
entity |
| Predicate | notablyAppearedInCase |
P55029
|
FINISHED |
| Object | NAACP v. Alabama |
—
|
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: NAACP v. Alabama | Statement: [State of Alabama ex rel. John Patterson, Attorney General, notablyAppearedInCase, NAACP v. Alabama]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notablyAppearedInCase Context triple: [State of Alabama ex rel. John Patterson, Attorney General, notablyAppearedInCase, NAACP v. Alabama]
-
A.
notableAppearanceIn
chosen
Indicates that an entity is prominently featured or plays a significant role in a particular work, event, or context.
-
B.
notableCaseContext
Indicates that an entity is associated with a particular contextual detail, circumstance, or background information relevant to a notable case or instance.
-
C.
appearsInCourt
Indicates that an entity is formally present and participating in a legal proceeding before a court.
-
D.
notableAppearance
Indicates that an entity is prominently featured or makes a significant appearance in another work, event, or context.
-
E.
notableCaseArea
Indicates that a particular geographic area is notably associated with, or significantly involved in, a given case or legal matter.
- 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_69ee9cfa21c081909e4e36e087debfc6 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69fee691952c8190822da83e46311d1d |
completed | May 9, 2026, 7:47 a.m. |
| PD | Predicate disambiguation | batch_69fee62f285c8190a625562a9b80526e |
completed | May 9, 2026, 7:45 a.m. |
Created at: April 27, 2026, 1:58 a.m.