Triple

T10836231
Position Surface form Disambiguated ID Type / Status
Subject Ray E255763 entity
Predicate historicalRegion P915 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: [Ray, historicalRegion, Media]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Media
Context triple: [Ray, historicalRegion, 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
    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 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.
  • D. 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.
  • E. Media School
    Media School is Indiana University's academic unit dedicated to the study and practice of media, journalism, film, and related communication fields.
  • 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d746fdefd4819099772efbd4f302cb completed April 9, 2026, 6:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb12aae648190aa7c93cee60ae3ea completed April 14, 2026, 9:27 p.m.
Created at: April 8, 2026, 9:19 p.m.