Triple
T34146408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George T. Stagg Bourbon |
E875870
|
entity |
| Predicate | whiskeyCategory |
P164637
|
FINISHED |
| Object | limited release bourbon |
—
|
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: limited release bourbon | Statement: [George T. Stagg Bourbon, whiskeyCategory, limited release bourbon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: whiskeyCategory Context triple: [George T. Stagg Bourbon, whiskeyCategory, limited release bourbon]
-
A.
styleOfWhisky
Indicates the specific style or type category that a whisky belongs to (e.g., single malt, blended, bourbon).
-
B.
recognizesAsBestWhisky
Indicates that one entity regards another whisky as the best among a relevant set or category.
-
C.
distilleryType
Indicates the specific kind or category of distillery associated with an entity (e.g., craft, industrial, micro, or regional type).
-
D.
alcoholType
Indicates the specific kind or category of alcohol associated with an entity (e.g., beer, wine, spirits).
-
E.
alcoholicCategory
chosen
Indicates that one entity is classified as a type or category within the domain of alcoholic beverages in relation to 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_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.