Triple

T5013201
Position Surface form Disambiguated ID Type / Status
Subject John Jones E112675 entity
Predicate relatedLegalOutcome P30903 FINISHED
Object John Darwin conviction for fraud 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: John Darwin conviction for fraud | Statement: [John Jones, relatedLegalOutcome, John Darwin conviction for fraud]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relatedLegalOutcome
Context triple: [John Jones, relatedLegalOutcome, John Darwin conviction for fraud]
  • A. legalOutcome
    Indicates the resulting legal status, decision, or consequence that follows from a legal process, action, or judgment.
  • B. legalCaseOutcomeAssociatedWith chosen
    Indicates that a particular legal case outcome is connected or linked to a specific related entity, such as a case, party, or legal proceeding.
  • C. relatedLegalProcess
    Indicates that there is an associated legal proceeding or action that is connected to, arises from, or is otherwise relevant to the referenced entity or event.
  • D. legalCaseAlongside
    Indicates that two or more legal cases are proceeding in parallel or in coordination, such that they are related or handled together in some aspect of the legal process.
  • E. relatedLegalSystem
    Indicates that there is an association or connection between two legal systems, such as influence, similarity, shared origin, or mutual relevance.
  • 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_69bd4434acb8819086679dbeccc2fe54 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd730f12a481908a27c15dc73987c6 completed March 20, 2026, 4:17 p.m.
PD Predicate disambiguation batch_69bd714cbc448190aa53a8a83d768b64 completed March 20, 2026, 4:09 p.m.
Created at: March 20, 2026, 1:35 p.m.