Triple

T25005710
Position Surface form Disambiguated ID Type / Status
Subject Mr. Bobo E625835 entity
Predicate warningMedium P157536 FINISHED
Object jumping mice 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: jumping mice | Statement: [Mr. Bobo, warningMedium, jumping mice]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: warningMedium
Context triple: [Mr. Bobo, warningMedium, jumping mice]
  • A. warningType
    Indicates the specific category or classification of a warning associated with an entity or event.
  • B. dangerWarning
    Indicates that one entity issues or represents a warning about potential danger associated with another entity or situation.
  • C. warningContent
    Indicates that one entity provides the specific message, text, or material that constitutes a warning directed toward another entity or audience.
  • D. warningIssued
    Indicates that a formal warning or alert has been communicated from one entity to another regarding a potential or existing risk, problem, or violation.
  • E. warningGivenBy
    Indicates that one entity issues or delivers a warning to another entity.
  • F. None of above. chosen

Provenance (4 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_69e2ff26c50481908bc82e799c9e6587 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f44b113f8c8190ae05102e9c2ae076 completed May 1, 2026, 6:41 a.m.
PD Predicate disambiguation batch_69f442c0c2e88190acd7f170f10ccef6 completed May 1, 2026, 6:05 a.m.
PDg Predicate description generation batch_69f448fe11f08190bdd53ca7ba2d51e4 completed May 1, 2026, 6:32 a.m.
Created at: April 18, 2026, 6:05 a.m.