Triple

T32802515
Position Surface form Disambiguated ID Type / Status
Subject Envolver E838932 entity
Predicate socialMediaImpact P41061 FINISHED
Object massive use in short-form video content 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: massive use in short-form video content | Statement: [Envolver, socialMediaImpact, massive use in short-form video content]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: socialMediaImpact
Context triple: [Envolver, socialMediaImpact, massive use in short-form video content]
  • A. mediaInfluence chosen
    Indicates that one entity affects, shapes, or alters another entity’s attitudes, behaviors, or perceptions through media content or channels.
  • B. socialMedia
    Indicates a relationship where one entity uses, is associated with, or interacts through social networking or content-sharing platforms with another entity.
  • C. socialRise
    Indicates a change in an entity’s social status or position to a higher or more influential level within a social hierarchy.
  • D. socialSphereOfInfluence
    Indicates the range of people or groups that an entity can affect or be affected by through its social relationships and interactions.
  • E. socialStance
    Indicates the attitude, position, or orientation one entity holds toward another in a social context.
  • 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_69f3493d35208190b4351b4e85f2fa16 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f791cc969c8190bf187d6031a030d5 completed May 3, 2026, 6:19 p.m.
PD Predicate disambiguation batch_69f791033d288190b118029fe412b9c9 completed May 3, 2026, 6:16 p.m.
Created at: May 1, 2026, 1:15 a.m.