Triple
T37625426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Fitzgerald |
E936193
|
entity |
| Predicate | hasMashBillType |
P177981
|
FINISHED |
| Object | wheated 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: wheated bourbon | Statement: [Old Fitzgerald, hasMashBillType, wheated bourbon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMashBillType Context triple: [Old Fitzgerald, hasMashBillType, wheated bourbon]
-
A.
hasMashBill
Indicates that an alcoholic beverage (typically a spirit like whiskey or bourbon) is produced using a specific mixture of grains (the mash bill).
-
B.
hasMashTunType
Indicates that an entity is associated with or uses a specific type or configuration of mash tun.
-
C.
typeOfMalt
Indicates the specific kind or category of malt used or referenced in relation to another entity.
-
D.
mashBillRyeContent
Indicates the proportion of rye grain included in the mash bill used to produce a distilled spirit.
-
E.
mashBillGrainEmphasis
chosen
Indicates the primary grain or grains that dominate the composition of a mash bill in a distilled spirit.
- 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_69f76ed24820819081bafd36e9088701 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1553e08190bb7424c448cb1f33 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:18 p.m.