Triple
T1539275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masterpiece Cakeshop, Ltd. |
E32826
|
entity |
| Predicate | argumentInCase |
P2397
|
FINISHED |
| Object | custom wedding cakes are expressive conduct |
—
|
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: custom wedding cakes are expressive conduct | Statement: [Masterpiece Cakeshop, Ltd., argumentInCase, custom wedding cakes are expressive conduct]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: argumentInCase Context triple: [Masterpiece Cakeshop, Ltd., argumentInCase, custom wedding cakes are expressive conduct]
-
A.
arguesThat
chosen
Indicates that one entity presents reasons or justification in support of a specific claim, position, or proposition held about another entity or topic.
-
B.
reargued
Indicates that an argument, case, or issue was presented and debated again, typically after having been argued previously.
-
C.
usedInCase
Indicates that something (such as an item, method, or piece of information) is employed or applied within a particular case or instance.
-
D.
interpretedInCase
Indicates that something is understood, analyzed, or given meaning within the context of a particular case or specific situational scenario.
-
E.
justification
Indicates that one entity provides a reason, explanation, or supporting argument for the existence, validity, or appropriateness of another entity or claim.
- 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_69a885ed29088190a3c2d5a3d100c16e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa95c1a2948190a2b98469afec1a7d |
completed | March 6, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_69a907b2453c8190a41f6b88c8217d1e |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.