Triple

T34795374
Position Surface form Disambiguated ID Type / Status
Subject R v Penguin Books Ltd E1003061 entity
Predicate introducedEvidenceType P3168 FINISHED
Object expert literary testimony 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: expert literary testimony | Statement: [R v Penguin Books Ltd, introducedEvidenceType, expert literary testimony]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: introducedEvidenceType
Context triple: [R v Penguin Books Ltd, introducedEvidenceType, expert literary testimony]
  • A. usedEvidenceType chosen
    Indicates that a particular type or category of evidence was employed or relied upon in a given context or activity.
  • B. presentsEvidenceTo
    Indicates that one entity formally provides or shows evidence to another entity, typically to support a claim, argument, or decision.
  • C. evidenceTypeHandled
    Indicates that an entity is responsible for processing or managing a particular type or category of evidence.
  • D. providesEvidenceFor
    Indicates that one entity serves as support, justification, or proof for the validity or truth of another entity.
  • E. evidenceAtIssue
    Indicates that a particular piece of evidence is directly contested, disputed, or central to the disagreement or decision in a case or situation.
  • 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_69f76db543808190b188c6c86a91491b completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69fe00dad1708190b6522476bebb43af completed May 8, 2026, 3:27 p.m.
PD Predicate disambiguation batch_69fdfc3717f48190bb50ac2919c8ef95 completed May 8, 2026, 3:07 p.m.
Created at: May 3, 2026, 3:59 p.m.