Triple

T14966985
Position Surface form Disambiguated ID Type / Status
Subject Mitchell v. United States E373214 entity
Predicate holding P2237 FINISHED
Object A sentencing court may not draw an adverse inference from a defendant’s silence in determining facts about the crime that bear upon the severity of the sentence — 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: A sentencing court may not draw an adverse inference from a defendant’s silence in determining facts about the crime that bear upon the severity of the sentence | Statement: [Mitchell v. United States, holding, A sentencing court may not draw an adverse inference from a defendant’s silence in determining facts about the crime that bear upon the severity of the sentence]

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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e2fdcc8190bffe603db3388736 completed April 15, 2026, 12:08 a.m.
Created at: April 10, 2026, 2:47 a.m.