Triple
T8671482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Revenue Act of 1964 |
E205806
|
entity |
| Predicate | topMarginalIndividualRateAfter |
P37501
|
FINISHED |
| Object | 70 percent |
—
|
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: 70 percent | Statement: [Revenue Act of 1964, topMarginalIndividualRateAfter, 70 percent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: topMarginalIndividualRateAfter Context triple: [Revenue Act of 1964, topMarginalIndividualRateAfter, 70 percent]
-
A.
topMarginalIndividualIncomeTaxRateAppliesTo
Indicates that the specified top marginal individual income tax rate is applicable to the referenced taxpayer or income category.
-
B.
topIndividualRateAfterReform
chosen
Indicates the highest individual rate that applies following the implementation of a reform.
-
C.
reducedTopMarginalRateFrom
Indicates that an entity lowered the highest marginal rate (such as a top tax or interest rate) from a specified prior level.
-
D.
reducedTopMarginalRateTo
Indicates that an entity has lowered the highest marginal rate (such as a top tax or interest rate) to a specified new level.
-
E.
topIndividualRateBeforeReform
Indicates the highest individual rate that applied prior to a specified reform or policy change.
- 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_69ca83529a9c8190b5c075b4f14636ed |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc491a34d08190b0795079d192a03d |
completed | March 31, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69cc4564e018819081036722f3e42a71 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:31 p.m.