Triple

T2788622
Position Surface form Disambiguated ID Type / Status
Subject Friedrich Janssen E61871 entity
Predicate legalStatusDuringTrial P39428 FINISHED
Object defendant 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: defendant | Statement: [Friedrich Janssen, legalStatusDuringTrial, defendant]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalStatusDuringTrial
Context triple: [Friedrich Janssen, legalStatusDuringTrial, defendant]
  • A. defendantStatus chosen
    Indicates the legal condition or standing of a defendant within a judicial or law-enforcement process.
  • B. convictionStatusInOriginalTrial
    Indicates whether an entity was found guilty or not guilty in the initial (original) court trial.
  • C. allegedStatus
    Indicates that a particular status or condition is claimed or asserted about an entity, but has not been confirmed as true.
  • D. detaineeStatus
    Indicates the current legal or custodial condition of a person being detained, such as whether they are in custody, released, or under a specific detention regime.
  • E. criminalStatus
    Indicates the legal condition of an entity with respect to criminal law, such as whether they are accused, convicted, or cleared of a crime.
  • 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_69ab4b7f51d881908768300ebd2fbdae completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdeea881481908d759c72798a50fb completed March 7, 2026, 8:16 a.m.
PD Predicate disambiguation batch_69abdd025c948190a97dd961a9592bac completed March 7, 2026, 8:08 a.m.
Created at: March 6, 2026, 9:58 p.m.