Triple
T34290342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blanton's Single Barrel Bourbon |
E879869
|
entity |
| Predicate | agedIn |
P178856
|
FINISHED |
| Object | new charred American oak barrels |
—
|
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: new charred American oak barrels | Statement: [Blanton's Single Barrel Bourbon, agedIn, new charred American oak barrels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: agedIn Context triple: [Blanton's Single Barrel Bourbon, agedIn, new charred American oak barrels]
-
A.
airedIn
Indicates that a media work was broadcast or shown during a specific time period or in a particular airing context.
-
B.
ownedDuring
Indicates that one entity possessed or held ownership of another entity for some or all of a specified time interval.
-
C.
takenInBy
Indicates that one entity is absorbed, ingested, or otherwise brought inside and contained by another entity.
-
D.
mayBeInvolvedIn
Indicates that an entity has a possible, but not certain, participation or role in a particular event, activity, or situation.
-
E.
ownedIn
Indicates that one entity possesses or holds legal or recognized ownership of another entity within a specific context, domain, or scope.
- 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_69f349b6df1c81908e5e5b6c2ab6409b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f717836f0c8190b4a397bbac37dd09 |
completed | May 3, 2026, 9:38 a.m. |
| PD | Predicate disambiguation | batch_69f7127a2ff08190b77d00963c9df621 |
completed | May 3, 2026, 9:16 a.m. |
| PDg | Predicate description generation | batch_69f71782422c81908196d5e4a610cb1a |
completed | May 3, 2026, 9:38 a.m. |
Created at: May 1, 2026, 1:57 a.m.