Triple
T34146406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George T. Stagg Bourbon |
E875870
|
entity |
| Predicate | ageStatementType |
P146103
|
FINISHED |
| Object | non-age-stated |
—
|
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: non-age-stated | Statement: [George T. Stagg Bourbon, ageStatementType, non-age-stated]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageStatementType Context triple: [George T. Stagg Bourbon, ageStatementType, non-age-stated]
-
A.
ageStatement
Indicates that a statement expresses or asserts the age of an entity in terms of time lived or existed.
-
B.
ageStatementVariants
Indicates alternative phrasings or formulations used to express the same age-related statement or fact.
-
C.
ageType
chosen
Indicates the specific categorization or classification of an age value (e.g., actual, estimated, range-based) associated with an entity.
-
D.
ageStatus
Indicates the relationship between an entity and its classification into an age-related category or status (e.g., minor, adult, senior).
-
E.
ageLimitType
Indicates the type or category of age restriction that applies to an entity or activity.
- 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_69f349abaa508190a820f206620efddc |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70fb4f18c819099ef6d9177b7d205 |
completed | May 3, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f70f3a54d481909ba6bdda3647b761 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:54 a.m.