Triple
T36165107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fender bass guitars |
E1045976
|
entity |
| Predicate | firstMassProducedModel |
—
|
GENERATED |
| Object | Fender Precision Bass |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMassProducedModel Context triple: [Fender bass guitars, firstMassProducedModel, Fender Precision Bass]
-
A.
firstModelIntroduced
Indicates that one entity is the earliest or original model introduced in relation to another entity or context.
-
B.
firstMassProductionProductName
chosen
Indicates the name of the product that was the first to be mass-produced by a given entity.
-
C.
firstMassProductionBy
Indicates that the subject is the first entity to mass-produce the object or technology referenced.
-
D.
firstProductionYear
Indicates the year in which something (such as a product, work, or item) was first produced.
-
E.
wasFirstProducedBy
Indicates that something (such as a product, work, or item) was initially created, manufactured, or brought into existence by a particular agent, organization, or producer.
- F. None of above.
Provenance (1 batch)
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_69f76e396bc88190b99d221bff9be27a |
completed | May 3, 2026, 3:48 p.m. |
Created at: May 3, 2026, 4:08 p.m.