Triple
T34184294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Larue Weller Bourbon |
E876913
|
entity |
| Predicate | categoryWithinCollection |
P179099
|
FINISHED |
| Object | wheated bourbon expression |
—
|
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: wheated bourbon expression | Statement: [William Larue Weller Bourbon, categoryWithinCollection, wheated bourbon expression]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: categoryWithinCollection Context triple: [William Larue Weller Bourbon, categoryWithinCollection, wheated bourbon expression]
-
A.
categoryInSET
Indicates that an entity belongs to, or is classified within, a specified set or category.
-
B.
collectionKind
Indicates the type or category of collection to which an entity or group of entities belongs.
-
C.
categoryWithinOrganization
Indicates that one organizational unit or category is contained within, and hierarchically belongs to, a broader organizational structure.
-
D.
collectionBy
Indicates that one entity is the collector or curator responsible for assembling, managing, or owning a particular collection of items represented by another entity.
-
E.
collectionSection
Indicates a relationship where a collection is divided into or associated with a specific section or subdivision within it.
- 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_69f71c35327c8190884f1bfe12bd2cd7 |
completed | May 3, 2026, 9:58 a.m. |
| PD | Predicate disambiguation | batch_69f71822d0e88190ac9731c7ae5a4def |
completed | May 3, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69f71c33edac8190a59f6ff19b265fc5 |
completed | May 3, 2026, 9:58 a.m. |
Created at: May 1, 2026, 1:55 a.m.