Triple

T8996537
Position Surface form Disambiguated ID Type / Status
Subject Anthony Darwin E214928 entity
Predicate legalStatusInFraudCase P7958 FINISHED
Object not charged with any offence 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: not charged with any offence | Statement: [Anthony Darwin, legalStatusInFraudCase, not charged with any offence]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalStatusInFraudCase
Context triple: [Anthony Darwin, legalStatusInFraudCase, not charged with any offence]
  • A. allegedStatus
    Indicates that a particular status or condition is claimed or asserted about an entity, but has not been confirmed as true.
  • B. criminalStatus chosen
    Indicates the legal condition of an entity with respect to criminal law, such as whether they are accused, convicted, or cleared of a crime.
  • C. legalStatusAtIssue
    Indicates that the legal status of an entity is the central subject of dispute, consideration, or determination in a legal context.
  • D. defendantStatus
    Indicates the legal condition or standing of a defendant within a judicial or law-enforcement process.
  • E. legalStatusOfNoncompliance
    Indicates the legal characterization or consequences assigned to an instance of noncompliance with a rule, law, or obligation.
  • 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_69ca83a05c608190bdfdbdb25e994b39 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc68df33c48190a5017426e59c0bc4 completed April 1, 2026, 12:37 a.m.
PD Predicate disambiguation batch_69cc5edba0f88190b97401636a076d7a completed March 31, 2026, 11:55 p.m.
Created at: March 30, 2026, 7:04 p.m.