Triple

T38479186
Position Surface form Disambiguated ID Type / Status
Subject Evan Miller E915622 entity
Predicate convictedAs P190941 FINISHED
Object juvenile 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: juvenile | Statement: [Evan Miller, convictedAs, juvenile]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: convictedAs
Context triple: [Evan Miller, convictedAs, juvenile]
  • A. convictedOf
    Indicates that a person or entity has been found guilty of committing a specified offense or crime through a formal legal process.
  • B. convictedBy
    Indicates that an authority, typically a court or judge, has formally found an entity guilty of a crime or offense.
  • C. convictedIndividual
    Indicates that an individual has been found guilty of a crime or offense through a formal legal process and has received a conviction.
  • D. perpetratorAccordingToConviction
    Indicates that an entity is identified as the perpetrator of an offense according to a formal legal conviction.
  • E. someMembersConvictedOf
    Indicates that within a group or organization, at least one member has been found guilty of a crime or offense through a formal legal or disciplinary process.
  • F. None of above. chosen

Provenance (4 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_69f76e8ff5cc8190a88803369183845e completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fcd34596288190b8e34a7a20b4c0db completed May 7, 2026, 6 p.m.
PD Predicate disambiguation batch_69fcd1f6b2e08190bf0300ae7c9ae67a completed May 7, 2026, 5:55 p.m.
PDg Predicate description generation batch_69fcd31227708190a7df213597e66ca8 completed May 7, 2026, 5:59 p.m.
Created at: May 3, 2026, 4:31 p.m.