Triple
T809175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sweatt v. Painter |
E17504
|
entity |
| Predicate | doctrineAffected |
P21301
|
FINISHED |
| Object | separate but equal |
—
|
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: separate but equal | Statement: [Sweatt v. Painter, doctrineAffected, separate but equal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doctrineAffected Context triple: [Sweatt v. Painter, doctrineAffected, separate but equal]
-
A.
doctrineFocus
Indicates that a doctrine, teaching, or belief is primarily concerned with, centered on, or directed toward a particular subject or theme.
-
B.
doctrineExplainedBy
Indicates that an explanation or interpretation is provided for a particular doctrine by a specified source or agent.
-
C.
affectsDialect
Indicates that one entity influences or changes the dialect used or spoken by another entity.
-
D.
affectedCompany
Indicates that a company is impacted or influenced by a particular event, action, or entity.
-
E.
confirmedDoctrine
Indicates that an authority has officially validated, endorsed, or ratified a particular doctrine as true or acceptable.
- 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_69a4937ae8a08190b5084a03d532b30e |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ac07fedc8190ab05595f25c1792f |
completed | March 1, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69a4aa7221c081908068e66fe720f26d |
completed | March 1, 2026, 9:06 p.m. |
| PDg | Predicate description generation | batch_69a4ac0688708190b62ac0a8239ec8c8 |
completed | March 1, 2026, 9:13 p.m. |
Created at: March 1, 2026, 7:38 p.m.