Triple
T23383875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beyond Beef |
E593823
|
entity |
| Predicate | brandOrProductOf |
P65067
|
FINISHED |
| Object | Beyond Meat |
—
|
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: Beyond Meat | Statement: [Beyond Beef, brandOrProductOf, Beyond Meat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brandOrProductOf Context triple: [Beyond Beef, brandOrProductOf, Beyond Meat]
-
A.
brandNameType
Indicates the specific type or category associated with a brand name within a broader branding or naming system.
-
B.
usedBrandOf
Indicates that one entity made use of or operated an item, product, or service associated with a particular brand.
-
C.
isBrand
Indicates that one entity functions as the commercial brand or label associated with another entity.
-
D.
brandNameUsedIn
Indicates that a particular brand name is used or appears within a specified context, such as a product, document, or communication.
-
E.
brandIncludes
chosen
Indicates that a broader brand or brand portfolio encompasses, owns, or contains the specified sub-brand, product line, or branded 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_69e25d2754fc819085deea939bde60ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a496ae34819090e86c89eef6d2dc |
completed | April 29, 2026, 6:26 a.m. |
| PD | Predicate disambiguation | batch_69f061dde2e481908308952f9c0d3c2e |
completed | April 28, 2026, 7:29 a.m. |
Created at: April 17, 2026, 5:34 p.m.