Triple
T18145156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 30 Minute Meals |
E434368
|
entity |
| Predicate | mediaFranchiseOf |
P7740
|
FINISHED |
| Object | Rachael Ray media properties |
—
|
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: Rachael Ray media properties | Statement: [30 Minute Meals, mediaFranchiseOf, Rachael Ray media properties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediaFranchiseOf Context triple: [30 Minute Meals, mediaFranchiseOf, Rachael Ray media properties]
-
A.
mediaFranchiseType
Indicates the specific kind or category of media franchise that an entity belongs to (e.g., film series, TV franchise, game franchise).
-
B.
hasMediaFranchise
chosen
Indicates that one entity is part of, or belongs to, a larger media franchise represented by another entity.
-
C.
fandomScope
Indicates the extent or boundaries of a fandom-related relationship, such as how broadly or narrowly a fan’s interest, participation, or recognition applies.
-
D.
fandomType
Indicates the specific category or kind of fandom relationship that exists between an entity and the subject of that fandom.
-
E.
fandomFocus
Indicates that one entity is primarily centered on, dedicated to, or concerned with the fan community or fan-related aspects 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de32d3f88190bd9f406729716407 |
completed | April 19, 2026, 1:52 p.m. |
| PD | Predicate disambiguation | batch_69e43317d11c81908d1dc14921566b47 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:29 a.m.