Triple

T15242071
Position Surface form Disambiguated ID Type / Status
Subject Joe Boxer E364279 entity
Predicate brandPersonality P14764 FINISHED
Object irreverent 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: irreverent | Statement: [Joe Boxer, brandPersonality, irreverent]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: brandPersonality
Context triple: [Joe Boxer, brandPersonality, irreverent]
  • A. brand
    Indicates that one entity is the commercial brand or label under which another entity (such as a product, service, or organization) is marketed or identified.
  • B. brandingRole
    Indicates the specific function or responsibility an entity has in creating, managing, or representing a brand within a branding context.
  • C. brandPositioning
    Indicates how a brand is strategically placed and perceived in the minds of its target audience relative to competitors.
  • D. brandingStyle
    Indicates the specific visual and stylistic approach used to represent a brand’s identity.
  • E. brandingFeature chosen
    Indicates that one entity serves as a branding-related characteristic, element, or attribute that helps define or distinguish another entity’s brand identity.
  • 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007dcc33081908545ea1a1d2c19fe completed April 15, 2026, 9:49 p.m.
PD Predicate disambiguation batch_69deca899d5c8190be4a7c71e1683c69 completed April 14, 2026, 11:15 p.m.
Created at: April 10, 2026, 3:13 a.m.