Triple
T34059309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle for the Barrel |
E873445
|
entity |
| Predicate | trophyTheme |
P105633
|
FINISHED |
| Object | bourbon heritage of Kentucky |
—
|
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: bourbon heritage of Kentucky | Statement: [Battle for the Barrel, trophyTheme, bourbon heritage of Kentucky]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trophyTheme Context triple: [Battle for the Barrel, trophyTheme, bourbon heritage of Kentucky]
-
A.
trophyFeatures
Indicates that a trophy possesses or is characterized by certain features or attributes.
-
B.
trophyColor
Indicates the color attribute assigned to a trophy in the relationship.
-
C.
trophyNameRefersTo
Indicates that a given trophy name refers to, denotes, or is associated with a particular trophy entity.
-
D.
prizeTheme
chosen
Indicates that a prize is associated with or awarded based on a particular theme.
-
E.
trophyCategory
Indicates the classification or type of award or trophy that an entity is associated with.
- 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_69f349a4af208190afa14888f9c9fb9d |
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, 1:52 a.m.