Triple

T32943538
Position Surface form Disambiguated ID Type / Status
Subject Pluggers E842735 entity
Predicate hasAudienceDemographic P793 FINISHED
Object older readers 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: older readers | Statement: [Pluggers, hasAudienceDemographic, older readers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAudienceDemographic
Context triple: [Pluggers, hasAudienceDemographic, older readers]
  • A. hasDemographic
    Indicates that an entity is associated with or characterized by a particular demographic group or attribute.
  • B. hasAudienceReach
    Indicates the extent or scope of people or groups that are exposed to, can access, or are targeted by a particular entity, message, or activity.
  • C. hasAudienceSize
    Indicates the relationship between an entity and the number of people or size of group that receives, views, or engages with it.
  • D. audienceComposition
    Indicates the makeup or distribution of different groups or segments within an audience in relation to something.
  • E. hasAudience chosen
    Indicates that an entity is intended to be received, viewed, or engaged with by a particular group of people.
  • 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_69f34949727c81909d195c97de3341c8 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fcc7338120819081cb46547d60f2cb completed May 7, 2026, 5:09 p.m.
PD Predicate disambiguation batch_69fcc58566a0819082d5ea36e03bf0c6 completed May 7, 2026, 5:01 p.m.
Created at: May 1, 2026, 1:20 a.m.