Triple
T12285191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sex on the Beach |
E292810
|
entity |
| Predicate | containsJuice |
P104053
|
FINISHED |
| Object | orange juice |
—
|
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: orange juice | Statement: [Sex on the Beach, containsJuice, orange juice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsJuice Context triple: [Sex on the Beach, containsJuice, orange juice]
-
A.
colorOfJuice
Indicates the specific color attribute associated with a given juice.
-
B.
isSoftDrinkVariantOf
Indicates that one soft drink is a specific version, flavor, or formulation derived from or based on another soft drink.
-
C.
isPackagedBeverage
Indicates that an item is a beverage that has been contained or sealed within some form of packaging for distribution or consumption.
-
D.
hasSugarContent
Indicates that one entity possesses or contains a specified amount or level of sugar.
-
E.
containsCitricAcid
Indicates that one entity includes citric acid as a component or ingredient 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d9261e1570819084bb4fdb44aa6aea |
completed | April 10, 2026, 4:32 p.m. |
| PD | Predicate disambiguation | batch_69d91c4d9a9c8190aeb7beaf9792d8f0 |
completed | April 10, 2026, 3:50 p.m. |
| PDg | Predicate description generation | batch_69d9261b7f088190b69fe6961015fce3 |
completed | April 10, 2026, 4:32 p.m. |
Created at: April 8, 2026, 9:52 p.m.