Triple
T33343801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mendl’s pastries |
E853741
|
entity |
| Predicate | hasIconicObject |
P23131
|
FINISHED |
| Object | stacked pink pastry boxes tied with blue ribbon |
—
|
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: stacked pink pastry boxes tied with blue ribbon | Statement: [Mendl’s pastries, hasIconicObject, stacked pink pastry boxes tied with blue ribbon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIconicObject Context triple: [Mendl’s pastries, hasIconicObject, stacked pink pastry boxes tied with blue ribbon]
-
A.
hasIconicModel
Indicates that something is associated with or represented by a particularly famous or emblematic model.
-
B.
hasIconicArtifact
chosen
Indicates that an entity possesses or is associated with a distinctive, emblematic artifact that represents its identity, history, or significance.
-
C.
hasIconicCharacter
Indicates that something is associated with a character widely recognized as emblematic or highly representative of it.
-
D.
hasIconographicFigure
Indicates that one entity includes, depicts, or is associated with a particular iconographic figure in its visual or symbolic representation.
-
E.
isIconicIn
Indicates that something is widely recognized as a defining or emblematic example within a particular context, domain, or location.
- 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_69f3496a1a588190bad9cbe9221144e0 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f8164698819090c1b471f1caa4c6 |
completed | May 3, 2026, 7:24 a.m. |
| PD | Predicate disambiguation | batch_69f6f6619404819084662aef1238261c |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:34 a.m.