Triple

T34362945
Position Surface form Disambiguated ID Type / Status
Subject Christina Aguilera in Concert E881926 entity
Predicate hasMarketingAspect P48415 FINISHED
Object promotion of debut-era singles 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: promotion of debut-era singles | Statement: [Christina Aguilera in Concert, hasMarketingAspect, promotion of debut-era singles]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasMarketingAspect
Context triple: [Christina Aguilera in Concert, hasMarketingAspect, promotion of debut-era singles]
  • A. hasMarketingElement
    Indicates that one entity includes, is associated with, or makes use of a particular marketing-related component or feature.
  • B. hasMarketingCategory
    Indicates that an entity is associated with a specific marketing category or segment used for classification or targeting.
  • C. hasMarketingPoint
    Indicates that an entity possesses or is associated with a specific marketing-related feature, advantage, or talking point.
  • D. hasMarketingIcon
    Indicates that an entity is associated with, or represented by, a specific marketing-related icon or symbol.
  • E. hasMarketingTheme chosen
    Indicates that an entity is associated with or characterized by a particular marketing theme or campaign concept.
  • 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_69f349be5c9c81908dc726ae1f4c68f2 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_6a019dfc69fc8190b0d80279a6216ba7 completed May 11, 2026, 9:14 a.m.
PD Predicate disambiguation batch_6a019d54586c81908292d4880db9fad2 completed May 11, 2026, 9:11 a.m.
Created at: May 1, 2026, 1:58 a.m.