Triple
T19162394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mildred Delores Jeter |
E469087
|
entity |
| Predicate | raceAsClassifiedInVirginiaAtTheTime |
P18104
|
FINISHED |
| Object | “colored” under Virginia law |
—
|
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: “colored” under Virginia law | Statement: [Mildred Delores Jeter, raceAsClassifiedInVirginiaAtTheTime, “colored” under Virginia law]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raceAsClassifiedInVirginiaAtTheTime Context triple: [Mildred Delores Jeter, raceAsClassifiedInVirginiaAtTheTime, “colored” under Virginia law]
-
A.
hasRaceClass
Indicates that an entity participates in or is associated with a particular race classification or category.
-
B.
associatedWithRaceCategory
Indicates a relationship in which an entity is linked or assigned to a particular race category.
-
C.
relatedRace
Indicates that there is a connection or association between two races, such as similarity, relevance, or contextual linkage.
-
D.
raceCategory
chosen
Indicates the classification of an entity into a specific race or racial group within a defined categorization system.
-
E.
racedAs
Indicates that one entity participated in a race or competition under the identity, name, or classification of another entity.
- 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5eebe03ac8190bbe0b34ebf0d90c6 |
completed | April 20, 2026, 9:15 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b83d6881908e6271c620f74100 |
completed | April 19, 2026, 11:17 a.m. |
Created at: April 10, 2026, 12:06 p.m.