Triple
T37625625
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johnny Drum Bourbon |
E936198
|
entity |
| Predicate | bottledAs |
P189080
|
FINISHED |
| Object | Johnny Drum Private Stock |
—
|
NE NERFINISHED |
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: Johnny Drum Private Stock | Statement: [Johnny Drum Bourbon, bottledAs, Johnny Drum Private Stock]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bottledAs Context triple: [Johnny Drum Bourbon, bottledAs, Johnny Drum Private Stock]
-
A.
bottledBy
Indicates that one entity is responsible for placing another entity into bottles or containers for packaging or distribution.
-
B.
bottlingType
Indicates the specific method or style in which a liquid product is bottled or packaged.
-
C.
bottledNear
Indicates that one entity was bottled at a location that is geographically close to another specified entity or location.
-
D.
bottlingProof
Indicates the specific alcohol proof at which a beverage is bottled.
-
E.
oftenBottledIn
Indicates that something is frequently or customarily contained or packaged in bottles.
- 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_69f76ed24820819081bafd36e9088701 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb084760c8190a1554985d3c3cb7a |
completed | May 6, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69fbadf3cb548190ba3b7514f76b790a |
completed | May 6, 2026, 9:09 p.m. |
| PDg | Predicate description generation | batch_69fbb083ab708190a18b045311106f27 |
completed | May 6, 2026, 9:20 p.m. |
Created at: May 3, 2026, 4:18 p.m.