Triple

T33586673
Position Surface form Disambiguated ID Type / Status
Subject Teen Choice Award for TV – Choice Breakout Star E860301 entity
Predicate votingDemographic P7875 FINISHED
Object teenagers 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: teenagers | Statement: [Teen Choice Award for TV – Choice Breakout Star, votingDemographic, teenagers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: votingDemographic
Context triple: [Teen Choice Award for TV – Choice Breakout Star, votingDemographic, teenagers]
  • A. votingPopulation
    Indicates that the subject entity has a population of individuals who are eligible and/or registered to vote in elections associated with the object entity.
  • B. hasVotingAgePopulation
    Indicates that an entity has a specified number or set of people who are of legal voting age within its population.
  • C. electorateCharacteristics
    Indicates the defining demographic, social, or political attributes that characterize a particular electorate.
  • D. hasDemographic chosen
    Indicates that an entity is associated with or characterized by a particular demographic group or attribute.
  • E. eligibleVoters
    Indicates that the referenced entities are legally permitted and qualified to vote in a given election or jurisdiction.
  • 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_69f3497e70e48190951c94d072879bec completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f6f774f2f88190b8673017cce0c287 completed May 3, 2026, 7:21 a.m.
PD Predicate disambiguation batch_69f6f6632dfc8190af85e258c8519207 completed May 3, 2026, 7:16 a.m.
Created at: May 1, 2026, 1:40 a.m.