Triple

T19941454
Position Surface form Disambiguated ID Type / Status
Subject ModernPopularCulture E479316 entity
Predicate isShapedBy P972 FINISHED
Object MassMedia NE NERFINISHED

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: MassMedia | Statement: [ModernPopularCulture, isShapedBy, MassMedia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MassMedia
Context triple: [ModernPopularCulture, isShapedBy, MassMedia]
  • A. Media chosen
    Media is an interdisciplinary field focused on the creation, analysis, and distribution of content across channels such as print, broadcast, digital platforms, and interactive technologies.
  • B. Media
    Media is a small borough in Delaware County, Pennsylvania, that serves as the county seat and is known for its historic downtown and community-oriented character.
  • C. Media
    Media was an ancient Iranian kingdom in northwestern Iran, historically ruled by the Medes and known for its role as a major Near Eastern power before being absorbed by the Achaemenid Persian Empire.
  • D. Mediasch
    Mediasch is the German name for Mediaș, a historic Transylvanian town in present-day Romania known for its medieval architecture and fortified churches.
  • E. Media 10
    Media 10 is a UK-based events and publishing company known for organizing major design, lifestyle, and trade shows.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e522a17c819095165d4d24939fd8 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65a6318848190a1dd3e0a6fea3fe2 completed April 20, 2026, 4:54 p.m.
Created at: April 10, 2026, 1:54 p.m.