Triple
T241863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Kerry 2004 presidential campaign |
E4946
|
entity |
| Predicate | positionOnTaxes |
P9228
|
FINISHED |
| Object | roll back tax cuts for the wealthiest Americans |
—
|
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: roll back tax cuts for the wealthiest Americans | Statement: [John Kerry 2004 presidential campaign, positionOnTaxes, roll back tax cuts for the wealthiest Americans]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnTaxes Context triple: [John Kerry 2004 presidential campaign, positionOnTaxes, roll back tax cuts for the wealthiest Americans]
-
A.
taxType
Indicates the specific category or classification of tax that applies to an entity, transaction, or amount.
-
B.
usedInTaxPayments
Indicates that something is employed or applied as part of making or fulfilling tax payments.
-
C.
positionOn
Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
-
D.
positionA
Indicates the spatial or ordered position of an entity A within a defined reference frame or sequence.
-
E.
subjectPosition
Indicates the spatial or logical position of a subject relative to a reference frame, context, or other entities.
- 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_69a257c3d0708190b0871c4269d273e6 |
completed | Feb. 28, 2026, 2:49 a.m. |
| NER | Named-entity recognition | batch_69a25d35aa288190966b6e15af1525cb |
completed | Feb. 28, 2026, 3:12 a.m. |
| PD | Predicate disambiguation | batch_69a25b60ad308190b12f119960a8bde7 |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25d3463648190ac716d7475378536 |
completed | Feb. 28, 2026, 3:12 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.