Triple
T19892753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pirouette cookies |
E478071
|
entity |
| Predicate | isOftenDecoratedWith |
P38145
|
FINISHED |
| Object | chocolate drizzle |
—
|
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: chocolate drizzle | Statement: [Pirouette cookies, isOftenDecoratedWith, chocolate drizzle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOftenDecoratedWith Context triple: [Pirouette cookies, isOftenDecoratedWith, chocolate drizzle]
-
A.
hasDecor
chosen
Indicates that one entity possesses, features, or is adorned with a particular decorative element or style.
-
B.
decoratedOn
Indicates that one entity has been adorned, embellished, or ornamented on a specific date, occasion, or point in time.
-
C.
isHighlyDecorated
Indicates that an entity has received a large number or high level of honors, awards, or distinctions.
-
D.
containsDecorationFrom
Indicates that one entity includes or incorporates a decorative element that originates from another entity.
-
E.
decoratedFor
Indicates that an entity has received a decoration, award, or honor in recognition of a specific action, service, or achievement.
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6590f9eb481909104a6a404c5c331 |
completed | April 20, 2026, 4:49 p.m. |
| PD | Predicate disambiguation | batch_69e537ecda248190895c96afb6243823 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:52 p.m.