Triple
T20969776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Irwin Schiff |
E516462
|
entity |
| Predicate | legalCharacterizationOfArguments |
P13138
|
FINISHED |
| Object | frivolous tax arguments |
—
|
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: frivolous tax arguments | Statement: [Irwin Schiff, legalCharacterizationOfArguments, frivolous tax arguments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legalCharacterizationOfArguments Context triple: [Irwin Schiff, legalCharacterizationOfArguments, frivolous tax arguments]
-
A.
legalCharacterization
chosen
Indicates how an action, event, or situation is classified or characterized under a specific legal framework or set of laws.
-
B.
lawCharacteristicInText
Indicates that a specific legal characteristic or feature is expressed, described, or referenced within a given text.
-
C.
legalExpressionOf
Indicates a relationship where one entity is the formal legal articulation, representation, or codified form of another entity (such as a right, obligation, or agreement).
-
D.
legalPhilosophy
Indicates the philosophical principles, theories, or viewpoints that underpin or guide a legal system, doctrine, or interpretation.
-
E.
legalSignificance
Indicates that something has recognized importance, effect, or consequence within a legal context or system.
- 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_69e0b4fee5ac8190875fa9ceba1a5e5e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fb9f53e88190847f93e0bbca6ea0 |
completed | April 21, 2026, 4:22 a.m. |
| PD | Predicate disambiguation | batch_69e5dbe6976081908abd4e9c8734bae9 |
completed | April 20, 2026, 7:55 a.m. |
Created at: April 16, 2026, 1:43 p.m.