Triple
T35016049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Breakfast Kingdom |
E1010055
|
entity |
| Predicate | hasRoyalty |
P44025
|
FINISHED |
| Object | Breakfast Princess |
—
|
NE NERFINISHED |
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: Breakfast Princess | Statement: [Breakfast Kingdom, hasRoyalty, Breakfast Princess]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRoyalty Context triple: [Breakfast Kingdom, hasRoyalty, Breakfast Princess]
-
A.
associatedWithRoyalty
chosen
Indicates a relationship in which an entity has a notable connection to royalty, such as through lineage, service, patronage, or symbolic affiliation.
-
B.
royaltyRateOnProduction
Indicates the percentage or amount of royalty that must be paid based on the level or value of production.
-
C.
collectsRoyaltiesFrom
Indicates that one party receives royalty payments from another party, typically as compensation for the use of intellectual property or resources.
-
D.
hasTributeReleasesFor
Indicates that one entity has released or produced tribute works (such as albums, songs, or performances) dedicated to another entity.
-
E.
hasDistributionRights
Indicates that one entity is legally authorized to distribute another entity’s product, content, or service within specified terms or territories.
- 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_69f76dcc3ac8819096a3ed52f5fa2523 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fe7bfc94bc81909eeec946e8c1c450 |
completed | May 9, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69fe7b74a1188190886f128e07f712da |
completed | May 9, 2026, 12:10 a.m. |
Created at: May 3, 2026, 4:01 p.m.