Triple
T36691246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CP-340 hard disk drive series |
E905960
|
entity |
| Predicate | manufacturerInstanceOf |
P187099
|
FINISHED |
| Object | Conner Peripherals |
—
|
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: Conner Peripherals | Statement: [CP-340 hard disk drive series, manufacturerInstanceOf, Conner Peripherals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: manufacturerInstanceOf Context triple: [CP-340 hard disk drive series, manufacturerInstanceOf, Conner Peripherals]
-
A.
manufacturerType
Indicates the classification or category of a manufacturer based on its role, characteristics, or production type.
-
B.
manufacturerClass
Indicates that an entity belongs to, or is categorized within, a particular class or type of manufacturer.
-
C.
manufacturerStatus
Indicates the current operational or business condition of a manufacturer in relation to the product or agreement in question.
-
D.
manufacturerIndustry
Indicates the industry or sector in which a manufacturer primarily operates or produces goods.
-
E.
manufacturerInUniverse
Indicates that one entity serves as the manufacturer or producer of another entity within a specified fictional or defined universe.
- 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_69f76e70d2448190bdd3ce781ba971c5 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb3425666081908916fcbf3b5dd907 |
completed | May 6, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69fb2f5f3164819099429c2cc3d24e01 |
completed | May 6, 2026, 12:09 p.m. |
| PDg | Predicate description generation | batch_69fb3424724c8190ba55ecf66fa0b171 |
completed | May 6, 2026, 12:29 p.m. |
Created at: May 3, 2026, 4:12 p.m.