Triple
T22591994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hard Valuable Fun |
E564972
|
entity |
| Predicate | definesHardAs |
P773
|
FINISHED |
| Object | tasks that stretch current abilities |
—
|
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: tasks that stretch current abilities | Statement: [Hard Valuable Fun, definesHardAs, tasks that stretch current abilities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: definesHardAs Context triple: [Hard Valuable Fun, definesHardAs, tasks that stretch current abilities]
-
A.
impliesHardness
Indicates that one entity suggests, entails, or leads to the conclusion that another entity possesses hardness.
-
B.
hardness
Indicates the degree to which one entity resists being scratched, indented, or deformed by another.
-
C.
showsHardnessOf
Indicates that something displays or reveals the degree of hardness possessed by another entity.
-
D.
defined
chosen
Indicates that one entity specifies, explains, or establishes the meaning, scope, or identity of another entity.
-
E.
hardiness
Indicates the degree to which an entity can withstand or endure harsh, adverse, or challenging conditions.
- 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_69e245836014819091b91ed3074742a3 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f16162c2cc8190a506776ac52356d7 |
completed | April 29, 2026, 1:39 a.m. |
| PD | Predicate disambiguation | batch_69ee627be4248190889a88764624e174 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 17, 2026, 2:49 p.m.