Triple
T23036847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur Fry |
E573619
|
entity |
| Predicate | inventionCategory |
P24461
|
FINISHED |
| Object | stationery |
—
|
LITERAL 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: stationery | Statement: [Arthur Fry, inventionCategory, stationery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inventionCategory Context triple: [Arthur Fry, inventionCategory, stationery]
-
A.
inventionType
chosen
Indicates the specific category or kind of invention that characterizes the relationship between an invention and its type.
-
B.
invention
Indicates that one entity is the creator or originator of another entity, typically a device, method, or idea.
-
C.
innovationArea
Indicates the thematic or domain-specific field in which an innovation is focused or applied.
-
D.
hasInnovationType
Indicates that an entity is associated with, or classified by, a specific type or category of innovation.
-
E.
featuresInvention
Indicates that one entity includes, presents, or prominently showcases a particular invention.
- 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_69e245b911188190bc3d96326c847969 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1850fe5348190b42259595d82cff4 |
completed | April 29, 2026, 4:12 a.m. |
| PD | Predicate disambiguation | batch_69ef3ba004a48190885aece88efd1f52 |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 17, 2026, 3:53 p.m.