Triple

T18009103
Position Surface form Disambiguated ID Type / Status
Subject The Cut E430830 entity
Predicate publisher P29 FINISHED
Object New York Media LLC 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: New York Media LLC | Statement: [The Cut, publisher, New York Media LLC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: New York Media LLC
Context triple: [The Cut, publisher, New York Media LLC]
  • A. New York Media LLC chosen
    New York Media LLC is an American media company best known for producing the influential New York Magazine and its associated digital brands.
  • B. Nine Media Corporation
    Nine Media Corporation is a Philippine media company best known for operating the CNN Philippines news and current affairs television network.
  • C. NBCUniversal
    NBCUniversal is a major American media and entertainment conglomerate known for its television networks, film studio, and extensive sports broadcasting portfolio.
  • D. Cox Media Group
    Cox Media Group is a major American media conglomerate that owns and operates television stations, radio stations, and digital media properties across numerous U.S. markets.
  • E. Nexstar Media Group
    Nexstar Media Group is a major American media company and the largest owner of local television stations in the United States.
  • 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_69d8b904530081908bf341d842464856 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4b51e13788190bebbbdd7340e0982 completed April 19, 2026, 10:57 a.m.
Created at: April 10, 2026, 10:24 a.m.