Triple
T7087024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | neoclassical synthesis |
E165099
|
entity |
| Predicate | viewOnUnemployment |
P74454
|
FINISHED |
| Object | involuntary unemployment can exist in the short run |
—
|
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: involuntary unemployment can exist in the short run | Statement: [neoclassical synthesis, viewOnUnemployment, involuntary unemployment can exist in the short run]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewOnUnemployment Context triple: [neoclassical synthesis, viewOnUnemployment, involuntary unemployment can exist in the short run]
-
A.
viewOnInterest
Indicates a perspective, opinion, or stance that one entity holds regarding a particular interest or topic.
-
B.
viewOnReason
Indicates that one entity holds or expresses a particular opinion, stance, or perspective about a specified reason or justification.
-
C.
viewOnFuture
Indicates a subject’s attitude, expectation, or perspective regarding future events or outcomes.
-
D.
viewOver
Indicates that one entity has a visual perspective overlooking or facing another entity, typically providing a vantage point onto it.
-
E.
positionOnWelfare
Indicates a stance or viewpoint an entity holds regarding welfare policies or welfare-related issues.
- 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_69c6887d98408190912b9580666b0c1d |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e513d9b08190a8a8d213c2264ce4 |
completed | March 27, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69c6e1c172148190bf290c07bf579d1f |
completed | March 27, 2026, 8 p.m. |
| PDg | Predicate description generation | batch_69c6e24af9ac8190b24eee206ba8be36 |
completed | March 27, 2026, 8:02 p.m. |
Created at: March 27, 2026, 2:41 p.m.