Triple

T1538996
Position Surface form Disambiguated ID Type / Status
Subject Schenck v. United States E32820 entity
Predicate lowerCourtOutcome P19102 FINISHED
Object conviction affirmed 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: conviction affirmed | Statement: [Schenck v. United States, lowerCourtOutcome, conviction affirmed]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: lowerCourtOutcome
Context triple: [Schenck v. United States, lowerCourtOutcome, conviction affirmed]
  • A. lowerCourt
    Indicates that one court holds a subordinate or inferior position in the judicial hierarchy relative to another court.
  • B. lowerCourtCitation
    Indicates that a legal decision or document cites or references a ruling from a lower court.
  • C. hasLowerCourtDecision chosen
    Indicates that a higher court case is associated with, or results from, a specific decision made by a lower court.
  • D. legalOutcome
    Indicates the resulting legal status, decision, or consequence that follows from a legal process, action, or judgment.
  • E. hasLowerCourt
    Indicates that one court functions as a subordinate or inferior court within the judicial hierarchy of another court.
  • 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_69a885ed29088190a3c2d5a3d100c16e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a915f323bc8190aa757142c225e0ae completed March 5, 2026, 5:34 a.m.
PD Predicate disambiguation batch_69a907b046448190be8ea4d7b20255f7 completed March 5, 2026, 4:33 a.m.
Created at: March 4, 2026, 7:26 p.m.