Triple
T34059282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle for the Barrel |
E873445
|
entity |
| Predicate | trophyAssociation |
P171896
|
FINISHED |
| Object | bourbon whiskey barrel |
—
|
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: bourbon whiskey barrel | Statement: [Battle for the Barrel, trophyAssociation, bourbon whiskey barrel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trophyAssociation Context triple: [Battle for the Barrel, trophyAssociation, bourbon whiskey barrel]
-
A.
trophyNameRefersTo
Indicates that a given trophy name refers to, denotes, or is associated with a particular trophy entity.
-
B.
trophyComponents
chosen
Indicates that one entity is a component or part used to construct or assemble the other entity, which is a trophy.
-
C.
trophySharedBy
Indicates that a particular trophy is jointly possessed, held, or credited to multiple entities.
-
D.
trophySponsor
Indicates that a sponsor provides financial or material support specifically for a trophy associated with an event, competition, or award.
-
E.
trophyCount
Indicates the number of trophies associated with a given entity.
- 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_69f349a4af208190afa14888f9c9fb9d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70b97e92c8190886fdc3808c18650 |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70ac0170c819098e3b8e41d02efef |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:52 a.m.