Triple

T32928912
Position Surface form Disambiguated ID Type / Status
Subject Baron Eldon E842345 entity
Predicate hasNotableLegalInfluence P62483 FINISHED
Object English law 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: English law | Statement: [Baron Eldon, hasNotableLegalInfluence, English law]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotableLegalInfluence
Context triple: [Baron Eldon, hasNotableLegalInfluence, English law]
  • A. hasCommonLegalInfluence
    Indicates that two or more entities are subject to, shaped by, or governed under the same legal authority, framework, or precedent.
  • B. influencedCourtDecision
    Indicates that one entity had an effect on or contributed to the outcome of a court’s decision regarding another entity or matter.
  • C. influencedByCourtCase
    Indicates that an entity’s state, decision, or development is shaped or altered as a result of a specific court case or its outcome.
  • D. hasLegalRelevanceIn chosen
    Indicates that something is legally significant, applicable, or has consequences within a specified legal context, case, or jurisdiction.
  • E. legalDoctrineInfluenced
    Indicates that one legal doctrine has shaped, informed, or contributed to the development or interpretation of another legal doctrine.
  • 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_69f34948adfc8190a937f1f622783c0b completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_6a016b2629c48190befb10581560d58f completed May 11, 2026, 5:37 a.m.
PD Predicate disambiguation batch_6a0167d5a2088190a68dbd2b87f73e80 completed May 11, 2026, 5:23 a.m.
Created at: May 1, 2026, 1:20 a.m.