Triple
T34184275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Larue Weller Bourbon |
E876913
|
entity |
| Predicate | unfiltered |
P141255
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [William Larue Weller Bourbon, unfiltered, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: unfiltered Context triple: [William Larue Weller Bourbon, unfiltered, true]
-
A.
nonChillFiltered
chosen
Indicates that a beverage, typically a spirit, has not undergone chill filtration to remove particles or compounds before bottling.
-
B.
unfinished
Indicates that an action, process, or state has started but has not yet been completed.
-
C.
filtering
Indicates the process by which certain items, signals, or information are selectively included or excluded based on specified criteria or conditions.
-
D.
under
Indicates that one entity is positioned below or beneath another entity, often implying vertical alignment or coverage.
-
E.
unpublished
Indicates that a work or content has not been formally released or made publicly available.
- 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_69f349ae640c8190b9cd220b5368d8b6 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7100873e0819081941ca63dad0a0d |
completed | May 3, 2026, 9:06 a.m. |
| PD | Predicate disambiguation | batch_69f70f3c5bfc81908585f52e196dafe5 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:55 a.m.