Triple
T23157356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Share Our Wealth program |
E578479
|
entity |
| Predicate | proposedBenefit |
P49949
|
FINISHED |
| Object | guaranteed minimum family income |
—
|
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: guaranteed minimum family income | Statement: [Share Our Wealth program, proposedBenefit, guaranteed minimum family income]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: proposedBenefit Context triple: [Share Our Wealth program, proposedBenefit, guaranteed minimum family income]
-
A.
expectedBenefit
chosen
Indicates the benefit or positive outcome that is anticipated to result from a particular action, decision, or relationship between entities.
-
B.
believedBenefit
Indicates that one entity considers or perceives another entity, action, or state as providing an advantage or positive outcome.
-
C.
benefice
Indicates that one entity grants or bestows a benefit, favor, or advantage upon another.
-
D.
alternativeBenefit
Indicates that one benefit serves as a substitute or replacement for another possible benefit in a given context.
-
E.
primaryBenefit
Indicates that one entity serves as the main or most important advantage, gain, or positive outcome associated with another entity.
- 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_69e245fb8de081908f0eba7b5fd75bc4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18efe1b0081908e81b757d64c067c |
completed | April 29, 2026, 4:54 a.m. |
| PD | Predicate disambiguation | batch_69ef89ff76808190808ee4ad9dea776b |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 4:01 p.m.