Triple

T225380
Position Surface form Disambiguated ID Type / Status
Subject Malia Obama E4302 entity
Predicate mediaAttention P5080 FINISHED
Object subject of extensive U.S. and international media coverage 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: subject of extensive U.S. and international media coverage | Statement: [Malia Obama, mediaAttention, subject of extensive U.S. and international media coverage]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mediaAttention
Context triple: [Malia Obama, mediaAttention, subject of extensive U.S. and international media coverage]
  • A. mediaAttentionLevel chosen
    Indicates the degree or intensity of attention or coverage that media outlets give to a particular subject or entity.
  • B. mediaCoverage
    Indicates that one entity reports on, documents, or broadcasts information about another entity through news or media channels.
  • C. mediaMarket
    Indicates a relationship where a media outlet or content provider serves, targets, or operates within a particular geographic or demographic market.
  • D. mediaStrategy
    Indicates a relationship where an entity plans, coordinates, or manages how media channels and content are used to achieve specific communication or marketing goals.
  • E. wentViralOn
    Indicates that content rapidly spread and gained widespread attention or popularity on a particular platform or medium.
  • 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_69a257363ffc81909757bde7ab3404da completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25dec53ac8190912f3d79576131fa completed Feb. 28, 2026, 3:15 a.m.
PD Predicate disambiguation batch_69a25b5739dc8190bad8bfa330ce0499 completed Feb. 28, 2026, 3:04 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.