Triple

T18575053
Position Surface form Disambiguated ID Type / Status
Subject Risk E453962 entity
Predicate reviewedBy P1394 FINISHED
Object The Hollywood Reporter 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: The Hollywood Reporter | Statement: [Risk, reviewedBy, The Hollywood Reporter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Hollywood Reporter
Context triple: [Risk, reviewedBy, The Hollywood Reporter]
  • A. The Hollywood Reporter chosen
    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. 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.
  • D. Variety
    Variety is a leading American entertainment trade magazine and website known for its coverage of film, television, theater, and the broader media industry.
  • E. MTV News
    MTV News was the news division of the MTV television network, known for covering music, pop culture, and youth-oriented current events.
  • 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_69d8d38974308190a9174430ef256b73 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e543c8c0608190afc99235006bf87f completed April 19, 2026, 9:06 p.m.
Created at: April 10, 2026, 11:43 a.m.