Triple

T21760761
Position Surface form Disambiguated ID Type / Status
Subject MTV Movie Award for Best Female Performance E537156 entity
Predicate hasAgeDemographicFocus P29430 FINISHED
Object young audiences 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: young audiences | Statement: [MTV Movie Award for Best Female Performance, hasAgeDemographicFocus, young audiences]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasAgeDemographicFocus
Context triple: [MTV Movie Award for Best Female Performance, hasAgeDemographicFocus, young audiences]
  • A. hasAgeFocus chosen
    Indicates a relationship where something is characterized or distinguished by a particular age group or age-related emphasis.
  • B. containsYoungPopulations
    Indicates that the subject includes or is characterized by a significant presence of young or recently formed populations.
  • C. hasDemographic
    Indicates that an entity is associated with or characterized by a particular demographic group or attribute.
  • D. hasFocusPopulation
    Indicates that an entity is specifically directed toward, designed for, or primarily concerns a particular target population or group.
  • E. hasDemographicCenter
    Indicates that an entity has a primary geographic location where the majority or core concentration of its associated population or demographic group is found.
  • 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_69e0c46f5d1c8190bf830409e98464e5 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01d91e9788190a11d0295306e78a4 completed April 28, 2026, 2:38 a.m.
PD Predicate disambiguation batch_69e6969e46088190b13d6e9025775ea3 completed April 20, 2026, 9:11 p.m.
Created at: April 16, 2026, 6:50 p.m.