Triple
T34599699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pappy Van Winkle Bourbon |
E888423
|
entity |
| Predicate | hasCollectorValue |
P205478
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [Pappy Van Winkle Bourbon, hasCollectorValue, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCollectorValue Context triple: [Pappy Van Winkle Bourbon, hasCollectorValue, high]
-
A.
hasCollector
Indicates that an entity is associated with, or owned/curated by, a specific collector.
-
B.
hasCollectorStatus
Indicates that an entity holds a specific collector-related status or designation in relation to another entity or context.
-
C.
hasProperCollect
Indicates that an entity is associated with a specific proper collect, i.e., a designated formal prayer or liturgical text assigned to it.
-
D.
hasCollection
Indicates that an entity possesses, maintains, or is associated with a set or group of related items treated as a collection.
-
E.
hasValue
Indicates that an entity is associated with a specific numerical, textual, or otherwise defined value.
- 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_69f349d489d48190ba30e7d97c6f5ef9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fd7aac8190873077e63873aa72 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 2:03 a.m.