Triple
T38316284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Employee Classification Act |
E1033833
|
entity |
| Predicate | intendedToBenefit |
P79876
|
FINISHED |
| Object | employees misclassified as independent contractors |
—
|
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: employees misclassified as independent contractors | Statement: [Employee Classification Act, intendedToBenefit, employees misclassified as independent contractors]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: intendedToBenefit Context triple: [Employee Classification Act, intendedToBenefit, employees misclassified as independent contractors]
-
A.
believedBenefit
Indicates that one entity considers or perceives another entity, action, or state as providing an advantage or positive outcome.
-
B.
benefice
Indicates that one entity grants or bestows a benefit, favor, or advantage upon another.
-
C.
benefitDesignGoal
Indicates that something contributes positively toward achieving a particular design goal.
-
D.
affectsBenefit
Indicates that one entity has an influence on, modifies, or determines the benefit or advantage received by another entity.
-
E.
intendedWith
chosen
Indicates that one entity is the planned or desired target, recipient, or context for the use or application of 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_69f76e132c408190969b3d35c04b87ae |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fe744faca881908e11e90e0a35653f |
completed | May 8, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69fe734cbf7081909a552c5cf3b5ea59 |
completed | May 8, 2026, 11:35 p.m. |
Created at: May 3, 2026, 4:30 p.m.