Triple
T30444738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | OWN LLC |
E774544
|
entity |
| Predicate | mediaBrandOf |
P175372
|
FINISHED |
| Object | Oprah Winfrey |
—
|
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: Oprah Winfrey | Statement: [OWN LLC, mediaBrandOf, Oprah Winfrey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mediaBrandOf Context triple: [OWN LLC, mediaBrandOf, Oprah Winfrey]
-
A.
brandingMedium
Indicates the medium or channel through which branding or brand-related communication is delivered.
-
B.
brand
Indicates that one entity is the commercial brand or label under which another entity (such as a product, service, or organization) is marketed or identified.
-
C.
popularBrand
Indicates that a brand is widely liked, recognized, or frequently chosen by many people.
-
D.
mediaName
Indicates the name or title assigned to a media item (such as a work, file, or publication) in the relationship.
-
E.
hasBrandRecognitionFor
Indicates that one entity is aware of, recognizes, or can identify the brand of another entity.
- F. None of above. chosen
Provenance (4 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_69f22493ef9c8190ae8c2afcb7f994c8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6d1d916f881909575c2b22c416a5b |
completed | May 3, 2026, 4:40 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
| PDg | Predicate description generation | batch_69f6d0d331dc8190be5aa6bfc6365e67 |
completed | May 3, 2026, 4:36 a.m. |
Created at: April 29, 2026, 8:08 p.m.