Triple
T20629425
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brain Age: Train Your Brain in Minutes a Day! |
E506910
|
entity |
| Predicate | usesInputMethod |
P140831
|
FINISHED |
| Object | stylus |
—
|
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: stylus | Statement: [Brain Age: Train Your Brain in Minutes a Day!, usesInputMethod, stylus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesInputMethod Context triple: [Brain Age: Train Your Brain in Minutes a Day!, usesInputMethod, stylus]
-
A.
hasInput
Indicates that an entity receives or takes another entity as an input to its process, function, or operation.
-
B.
usesTextService
Indicates that an entity makes use of a text-based service to perform some function or obtain some benefit.
-
C.
inputIs
Indicates that one entity serves as the input or provided value to another entity, process, or function.
-
D.
hasKeyboard
Indicates that one entity possesses or is equipped with a keyboard as a component or accessory.
-
E.
hasInputType
Indicates that an entity takes another entity as its input type for its operation, function, or process.
- 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_69e0b4bd4a0081908d4e97a590a33fb2 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6abe771e88190a48471bf83b4804d |
completed | April 20, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69e5a0155bd48190b3c769a12cc2c83d |
completed | April 20, 2026, 3:40 a.m. |
| PDg | Predicate description generation | batch_69e5a6a9f3f88190b961db9aca36f7da |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:42 a.m.