Triple

T37620811
Position Surface form Disambiguated ID Type / Status
Subject Scales v. United States E936062 entity
Predicate holding P2237 FINISHED
Object Active membership in an organization advocating violent overthrow can be criminalized if accompanied by specific intent to accomplish the group’s unlawful purposes — LITERAL FINISHED

How this triple was built (1 step)

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: Active membership in an organization advocating violent overthrow can be criminalized if accompanied by specific intent to accomplish the group’s unlawful purposes | Statement: [Scales v. United States, holding, Active membership in an organization advocating violent overthrow can be criminalized if accompanied by specific intent to accomplish the group’s unlawful purposes]

Provenance (2 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_69f76ed16b748190ad6add183b1be688 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba93254848190a499d4d05ae16f07 completed May 6, 2026, 8:48 p.m.
Created at: May 3, 2026, 4:18 p.m.