Triple
T27560989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MSN TV |
E695767
|
entity |
| Predicate | hardwareVendors |
P163212
|
FINISHED |
| Object | Samsung |
—
|
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: Samsung | Statement: [MSN TV, hardwareVendors, Samsung]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hardwareVendors Context triple: [MSN TV, hardwareVendors, Samsung]
-
A.
manufacturerOfHardware
chosen
Indicates that an entity is the producer or maker of a specified hardware product or device.
-
B.
technologyVendor
Indicates that one entity serves as the provider or supplier of technology products or services to another entity.
-
C.
architectureVendor
Indicates that one entity serves as the provider or supplier of architectural services, solutions, or products to another entity.
-
D.
biosVendor
Indicates the vendor or manufacturer responsible for producing the BIOS firmware for a device or system.
-
E.
majorVendor
Indicates that one entity serves as a primary or leading supplier of goods or services to 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_69ef5387e97c8190a9dab040d21cd048 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f63894e5848190aec428392562ab06 |
completed | May 2, 2026, 5:47 p.m. |
| PD | Predicate disambiguation | batch_69f6370c8c7c8190a02ea82847bb6e76 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 1:39 p.m.