Triple
T8073044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scardina v. Masterpiece Cakeshop |
E188420
|
entity |
| Predicate | serviceRequested |
P21995
|
FINISHED |
| Object | cake celebrating gender transition |
—
|
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: cake celebrating gender transition | Statement: [Scardina v. Masterpiece Cakeshop, serviceRequested, cake celebrating gender transition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serviceRequested Context triple: [Scardina v. Masterpiece Cakeshop, serviceRequested, cake celebrating gender transition]
-
A.
serviceWith
Indicates that one entity provides or is associated with a particular service offered to or used by another entity.
-
B.
serviceUserRequirement
chosen
Indicates that a user has a specific requirement or need that a service is expected to fulfill.
-
C.
serviceIn
Indicates that one entity serves, operates, or performs its function within the context, scope, or domain of another entity.
-
D.
serviceFor
Indicates that one entity provides a service or performs functions on behalf of another entity.
-
E.
serviceUnder
Indicates that one entity operates, functions, or is provided under the authority, management, or jurisdiction of 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_69ca82b50c708190863f661d438e68df |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb40482200819086c639f64c01fbb5 |
completed | March 31, 2026, 3:32 a.m. |
| PD | Predicate disambiguation | batch_69cb049f1614819087360d1a4c6f0faa |
completed | March 30, 2026, 11:17 p.m. |
Created at: March 30, 2026, 5:27 p.m.