Triple

T1539012
Position Surface form Disambiguated ID Type / Status
Subject Schenck v. United States E32820 entity
Predicate laterCharacterization P662 FINISHED
Object often criticized as overly restrictive of free speech 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: often criticized as overly restrictive of free speech | Statement: [Schenck v. United States, laterCharacterization, often criticized as overly restrictive of free speech]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: laterCharacterization
Context triple: [Schenck v. United States, laterCharacterization, often criticized as overly restrictive of free speech]
  • A. characterizedBy chosen
    Indicates that one entity possesses a defining quality, feature, or attribute expressed by another entity.
  • B. laterDevelopments
    Indicates that subsequent events, changes, or outcomes occurred following an earlier situation or state.
  • C. laterStatus
    Indicates that one entity represents a subsequent or resulting status or condition of another entity in time.
  • D. laterNamed
    Indicates that an entity was given a new name at a later time, linking its original identity to its subsequent name.
  • E. laterPerception
    Indicates that one entity’s perception, awareness, or observation of something occurs after another specified time, event, or perception.
  • 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.