Triple
T34599700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pappy Van Winkle Bourbon |
E888423
|
entity |
| Predicate | counterfeitRisk |
P38316
|
FINISHED |
| Object | frequently counterfeited on secondary market |
—
|
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: frequently counterfeited on secondary market | Statement: [Pappy Van Winkle Bourbon, counterfeitRisk, frequently counterfeited on secondary market]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: counterfeitRisk Context triple: [Pappy Van Winkle Bourbon, counterfeitRisk, frequently counterfeited on secondary market]
-
A.
isSubjectToCounterfeiting
chosen
Indicates that something is vulnerable to being illegally imitated, forged, or reproduced in order to deceive.
-
B.
hasRiskFor
Indicates that one entity is susceptible or exposed to the possibility of experiencing a harmful event, condition, or outcome associated with another entity.
-
C.
hasRiskFrom
Indicates that one entity is exposed to or may suffer potential harm, loss, or adverse effects as a result of another entity.
-
D.
shippingRisk
Indicates the level or likelihood of potential loss, damage, or delay associated with transporting goods from one location to another.
-
E.
hasWithdrawalRisk
Indicates that discontinuing or reducing something is associated with a risk of withdrawal effects or adverse reactions.
- 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_69f349d489d48190ba30e7d97c6f5ef9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a016336c58081909c58c5772e6fb488 |
completed | May 11, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_6a0160f25d8081909a6aaa375e9850b0 |
completed | May 11, 2026, 4:54 a.m. |
Created at: May 1, 2026, 2:03 a.m.