Triple

T19328455
Position Surface form Disambiguated ID Type / Status
Subject Variety E483420 entity
Predicate hasOnlinePresence P57 FINISHED
Object Variety.com 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: Variety.com | Statement: [Variety, hasOnlinePresence, Variety.com]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Variety.com
Context triple: [Variety, hasOnlinePresence, Variety.com]
  • A. The Hollywood Reporter
    The Hollywood Reporter is a leading American entertainment industry trade publication known for its coverage of film, television, and Hollywood business news.
  • B. IndieWire
    IndieWire is an online entertainment news and film industry publication known for its coverage of independent cinema, television, and awards season analysis.
  • C. Variety chosen
    Variety is a leading American entertainment trade magazine and website known for its coverage of film, television, theater, and the broader media industry.
  • D. Entertainment Weekly
    Entertainment Weekly is an American magazine and digital media brand that covers film, television, music, books, and pop culture news, reviews, and commentary.
  • E. The A.V. Club
    The A.V. Club is an entertainment and pop culture website known for its critical reviews and commentary on music, film, television, and other media.
  • 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e6163f32f48190be17cccf4e537372 completed April 20, 2026, 12:04 p.m.
Created at: April 10, 2026, 1:33 p.m.