Triple
T36165107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fender bass guitars |
E1045976
|
entity |
| Predicate | firstMassProducedModel |
P35144
|
FINISHED |
| Object | Fender Precision Bass |
E497473
|
NE 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: Fender Precision Bass | Statement: [Fender bass guitars, firstMassProducedModel, Fender Precision Bass]
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 (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_69f76e396bc88190b99d221bff9be27a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a394d25ed308190923a6855acbdad2f |
completed | June 22, 2026, 2:56 p.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:08 p.m.