Triple
T16204342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virgil McCracken |
E393284
|
entity |
| Predicate | possibleNotability |
P100753
|
FINISHED |
| Object | regional significance in early American history |
—
|
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: regional significance in early American history | Statement: [Virgil McCracken, possibleNotability, regional significance in early American history]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: possibleNotability Context triple: [Virgil McCracken, possibleNotability, regional significance in early American history]
-
A.
relativeNotability
Indicates how notable or prominent one entity is in comparison to another entity or set of entities.
-
B.
lacksNotabilityAs
Indicates that one entity is considered insufficiently notable or significant to be associated with or classified as the other entity.
-
C.
possibleCauseOfNotability
chosen
Indicates that one entity is a potential reason or contributing factor for why another entity is notable or recognized.
-
D.
notableLevel
Indicates the degree or extent to which something is considered notable or significant.
-
E.
notableOrdinary
Indicates that an entity is notable or significant despite being otherwise ordinary or typical in its category.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2270d6e5c8190aee4bcca76cbe47c |
completed | April 17, 2026, 12:26 p.m. |
| PD | Predicate disambiguation | batch_69e219e11f6081909106b1240a17fd37 |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:03 a.m.