Triple

T7497758
Position Surface form Disambiguated ID Type / Status
Subject Ned Dorsey E177175 entity
Predicate targetDemographicOfSeries P10804 FINISHED
Object adult viewers 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: adult viewers | Statement: [Ned Dorsey, targetDemographicOfSeries, adult viewers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: targetDemographicOfSeries
Context triple: [Ned Dorsey, targetDemographicOfSeries, adult viewers]
  • A. typicalAudience chosen
    Indicates the group of people for whom something (such as a work, product, or resource) is primarily intended or most suitable.
  • B. targetedPopulation
    Indicates the group of individuals or entities that an action, intervention, or effect is specifically directed toward.
  • C. relatesToAudience
    Indicates a general relationship or relevance between something and a particular audience or group of recipients.
  • D. targetAudienceEra
    Indicates the historical period or era for which something (such as a work, product, or message) is primarily intended or designed as its audience.
  • E. secondaryAudience
    Indicates that an entity is a secondary or additional intended audience or target group for another entity (such as a work, message, or product), beyond the primary audience.
  • 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_69c69f2696688190915a8458f2398211 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f81b431481908214b69c6c8d83bc completed March 27, 2026, 9:35 p.m.
PD Predicate disambiguation batch_69c6f4d266d88190982cf5d2ee2e9564 completed March 27, 2026, 9:21 p.m.
Created at: March 27, 2026, 3:44 p.m.