Triple

T2177433
Position Surface form Disambiguated ID Type / Status
Subject MetroStars E48562 entity
Predicate owner P347 FINISHED
Object Metromedia E92388 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: Metromedia | Statement: [MetroStars, owner, Metromedia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metromedia
Context triple: [MetroStars, owner, Metromedia]
  • A. Metromedia chosen
    Metromedia was a major American media company that owned a group of independent television and radio stations, many of which later formed the core of the Fox Broadcasting Company.
  • B. Warner Communications
    Warner Communications was a major American media and entertainment conglomerate that became a core component of the later Time Warner corporation.
  • C. Liberty Media
    Liberty Media is an American mass media company that owns a diverse portfolio of entertainment, sports, and communications businesses.
  • D. Carlton Communications
    Carlton Communications was a major British media company best known for its television broadcasting interests, including its role as a prominent ITV franchise holder in the UK.
  • E. Hearst Communications
    Hearst Communications is a major American mass media and business information conglomerate with interests in television, cable networks, magazines, newspapers, and digital media.
  • 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_69a88aa3faa48190995b233af6525815 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbeecdbc881909982a58568f0b1ed completed March 7, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5da14e3881909f0beda339599938 completed March 9, 2026, 5:41 a.m.
Created at: March 4, 2026, 7:45 p.m.