Triple

T6018509
Position Surface form Disambiguated ID Type / Status
Subject Tobias E134005 entity
Predicate travelsTo P21947 FINISHED
Object Media E332060 NE 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: Media | Statement: [Tobias, travelsTo, Media]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Media
Context triple: [Tobias, travelsTo, Media]
  • A. Media chosen
    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.
  • B. Media Ventures
    Media Ventures is a film and television music production company and composers’ collective founded by Hans Zimmer, known for creating scores for major Hollywood productions.
  • C. Media Factory
    Media Factory is a creative and digital media hub at the University of Central Lancashire that provides specialized facilities and resources for media, arts, and design students and professionals.
  • D. Media School
    Media School is Indiana University's academic unit dedicated to the study and practice of media, journalism, film, and related communication fields.
  • E. Media Development Center
    The Media Development Center is a specialized institute at Birzeit University dedicated to advancing media education, professional training, and development of the media sector.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c008742a5c8190b9cb9c2787a3d8b3 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f8589d0819089ae7840461640f6 completed March 22, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c108b842c48190b9469e2892a213d3 completed March 23, 2026, 9:32 a.m.
Created at: March 22, 2026, 4:07 p.m.