Triple

T17910281
Position Surface form Disambiguated ID Type / Status
Subject Lapis Lazuli E447801 entity
Predicate relationshipWithJasper P2830 FINISHED
Object abusive 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: abusive | Statement: [Lapis Lazuli, relationshipWithJasper, abusive]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: relationshipWithJasper
Context triple: [Lapis Lazuli, relationshipWithJasper, abusive]
  • A. isAssociatedWith chosen
    Indicates that there exists a connection, relationship, or involvement between two entities without specifying its exact nature.
  • B. reportsSymbolicallyTo
    Indicates that one entity formally reports to another through symbolic, representational, or non-literal means rather than through direct, operational authority.
  • C. partnerStudio
    Indicates that one entity serves as a partner studio associated with, collaborating with, or officially linked to another entity.
  • D. reportsFor
    Indicates that one entity is subordinate to another and is required to provide updates or answer to that entity, typically within an organizational or hierarchical structure.
  • E. partnerInOrganizationWith
    Indicates that two entities are associated as partners within the same organization or organizational context.
  • 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49ea017d081908be850a39edf601f completed April 19, 2026, 9:21 a.m.
PD Predicate disambiguation batch_69e3d8ec2f6881909d7f54b878cbed37 completed April 18, 2026, 7:18 p.m.
Created at: April 10, 2026, 10:19 a.m.