Triple
T36772785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoop-Dee-Doo Musical Revue |
E908524
|
entity |
| Predicate | beveragesServed |
P180542
|
FINISHED |
| Object | soft drinks |
—
|
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: soft drinks | Statement: [Hoop-Dee-Doo Musical Revue, beveragesServed, soft drinks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: beveragesServed Context triple: [Hoop-Dee-Doo Musical Revue, beveragesServed, soft drinks]
-
A.
servedDrink
Indicates that one entity provided or presented a drink to another entity.
-
B.
beverageBase
Indicates that one entity serves as the primary liquid or foundational ingredient used to make a beverage involving the other entity.
-
C.
hasBeverageProduct
chosen
Indicates that one entity possesses, offers, or is associated with a particular beverage product.
-
D.
hasBeverageCategory
Indicates that an entity is associated with or classified under a particular beverage category.
-
E.
servedDrinkTo
Indicates that one entity provided or handed a drink to another 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_69f76e798aa08190ace31098d1b13e9f |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f7c9f5a8848190ba956ff27f44e396 |
completed | May 3, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f7c8999a348190abc1895eaa6e036d |
completed | May 3, 2026, 10:13 p.m. |
Created at: May 3, 2026, 4:12 p.m.