Triple
T34184297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Larue Weller Bourbon |
E876913
|
entity |
| Predicate | barrelEntryProof |
P178495
|
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: [William Larue Weller Bourbon, barrelEntryProof, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: barrelEntryProof Context triple: [William Larue Weller Bourbon, barrelEntryProof, high]
-
A.
barrelType
Indicates the specific kind or category of barrel associated with or used in relation to an entity.
-
B.
barrelLife
Indicates the duration or extent to which a barrel remains functional or effective before it needs replacement or maintenance.
-
C.
barrelRegime
Indicates a relationship where an entity operates under, is subject to, or is characterized by a particular barrel-based regulatory or operational regime.
-
D.
numberOfBarrels
Indicates the quantity or count of barrels associated with a given entity or context.
-
E.
hasBarrel
Indicates that one entity possesses, includes, or is equipped with a barrel as a component or feature.
- 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_69f349ae640c8190b9cd220b5368d8b6 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f710aaff588190adc6cc5b7d5424cc |
completed | May 3, 2026, 9:08 a.m. |
| PD | Predicate disambiguation | batch_69f70f3c5bfc81908585f52e196dafe5 |
completed | May 3, 2026, 9:02 a.m. |
| PDg | Predicate description generation | batch_69f70fddd43c819088dee5a448c72cbe |
completed | May 3, 2026, 9:05 a.m. |
Created at: May 1, 2026, 1:55 a.m.