Triple

T19028760
Position Surface form Disambiguated ID Type / Status
Subject Clerkenwell Design Week E465678 entity
Predicate organisedBy P123 FINISHED
Object Media 10 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: Media 10 | Statement: [Clerkenwell Design Week, organisedBy, Media 10]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Media 10
Context triple: [Clerkenwell Design Week, organisedBy, Media 10]
  • A. Media 10 chosen
    Media 10 is a UK-based events and publishing company known for organizing major design, lifestyle, and trade shows.
  • B. Mediapro
    Mediapro is a Spanish multimedia communications group and film and television production company known for producing and co-producing international series, films, and sports broadcasting content.
  • C. MaMaMedia
    MaMaMedia is an early internet company focused on providing educational, interactive online experiences for children.
  • 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 Home Entertainment
    Media Home Entertainment was an American home video distribution company active primarily in the 1980s, known for releasing a wide range of films on VHS and other home media formats.
  • 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_69d8dd0359648190bc2a9202c5cf29d2 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d73ec9088190a98e214bd56e8622 completed April 20, 2026, 7:35 a.m.
Created at: April 10, 2026, 12:02 p.m.