Triple

T12033850
Position Surface form Disambiguated ID Type / Status
Subject Ulrich Greifelt E286482 entity
Predicate facedWithChargeOf P77292 FINISHED
Object war crimes 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: war crimes | Statement: [Ulrich Greifelt, facedWithChargeOf, war crimes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: facedWithChargeOf
Context triple: [Ulrich Greifelt, facedWithChargeOf, war crimes]
  • A. accusedOf
    Indicates that one entity has formally alleged or claimed that another entity committed a specific wrongdoing or offense.
  • B. crimeCharged chosen
    Indicates that legal authorities have formally accused an entity of committing a specific crime.
  • C. guiltyOf
    Indicates that an entity has been judged or determined to have committed a particular offense, crime, or wrongful act.
  • D. accusedIn
    Indicates that a person or entity is formally charged with wrongdoing in a particular case, proceeding, or context.
  • E. convictedOf
    Indicates that a person or entity has been found guilty of committing a specified offense or crime through a formal legal process.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9100b4ca8819084845ca4c13e34ce completed April 10, 2026, 2:58 p.m.
PD Predicate disambiguation batch_69d902b6ebbc8190b13c44a61c6f81b9 completed April 10, 2026, 2:01 p.m.
Created at: April 8, 2026, 9:47 p.m.