Triple

T24352685
Position Surface form Disambiguated ID Type / Status
Subject Bad Boy Furniture chain E613835 entity
Predicate hasAdvertisingElement P85034 FINISHED
Object shouting of the slogan "Nooobody!" 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: shouting of the slogan "Nooobody!" | Statement: [Bad Boy Furniture chain, hasAdvertisingElement, shouting of the slogan "Nooobody!"]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAdvertisingElement
Context triple: [Bad Boy Furniture chain, hasAdvertisingElement, shouting of the slogan "Nooobody!"]
  • A. hasAdvertisingVisual
    Indicates that an entity includes, is associated with, or uses a specific visual element or asset for advertising purposes.
  • B. hasAdvertisingMarket
    Indicates that an entity participates in or is associated with a specific advertising market where advertising space, time, or services are bought and sold.
  • C. includesAdvertisingClause
    Indicates that a contract or agreement contains a specific clause governing advertising-related rights, obligations, or restrictions.
  • D. hasMarketingElement chosen
    Indicates that one entity includes, is associated with, or makes use of a particular marketing-related component or feature.
  • E. usesAdvertisingModel
    Indicates that one entity employs or relies on another entity’s advertising-based business or revenue model.
  • 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_69e2d7ddd29481909e7f539a6072bd71 completed April 18, 2026, 1:01 a.m.
NER Named-entity recognition batch_69f293467a508190937b9614870e243e completed April 29, 2026, 11:24 p.m.
PD Predicate disambiguation batch_69f287bb1b2c81909c2e7fcc392ad143 completed April 29, 2026, 10:35 p.m.
Created at: April 18, 2026, 1:59 a.m.