Triple
T37894558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Willett Family Estate Bottled Rye |
E945239
|
entity |
| Predicate | grainBillDominantGrain |
P177981
|
FINISHED |
| Object | rye |
—
|
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: rye | Statement: [Willett Family Estate Bottled Rye, grainBillDominantGrain, rye]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grainBillDominantGrain Context triple: [Willett Family Estate Bottled Rye, grainBillDominantGrain, rye]
-
A.
grain
Indicates that one entity is composed of or contains a granular substance or small particles of another entity.
-
B.
mashBillGrainEmphasis
chosen
Indicates the primary grain or grains that dominate the composition of a mash bill in a distilled spirit.
-
C.
granaryType
Indicates the specific kind or category of granary associated with or used by an entity.
-
D.
hasGrainType
Indicates that an entity is characterized by or associated with a specific type of grain.
-
E.
typeOfMalt
Indicates the specific kind or category of malt used or referenced 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_69f76ef0e8708190987c7254ed8c7abe |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbc36ce1f88190a7fa1656b714e107 |
completed | May 6, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69fbbd166a488190b1bf9316b0790801 |
completed | May 6, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:19 p.m.