Triple

T40511
Position Surface form Disambiguated ID Type / Status
Subject Time E800 entity
Predicate formerOwner P347 FINISHED
Object WarnerMedia E3446 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: WarnerMedia | Statement: [Time, formerOwner, WarnerMedia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WarnerMedia
Context triple: [Time, formerOwner, WarnerMedia]
  • A. Time Warner chosen
    Time Warner was a major American media and entertainment conglomerate known for owning prominent film, television, and publishing assets such as Warner Bros., HBO, and CNN.
  • B. Paramount Pictures Studios
    Paramount Pictures Studios is a historic major American film studio and production lot in Hollywood known for producing and distributing countless iconic movies and television shows.
  • C. Atlantic Media
    Atlantic Media is an American media company best known for owning and operating influential publications such as The Atlantic.
  • D. Netflix, Inc.
    Netflix, Inc. is a leading global streaming entertainment company known for its vast library of films and TV series, including a significant slate of original content.
  • E. NBC
    NBC is a major American broadcast television network known for its nationwide programming, including news, sports, and entertainment.
  • 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_69a247a8f6c08190bac804906d62ed5a completed Feb. 28, 2026, 1:40 a.m.
NER Named-entity recognition batch_69a24adf3640819095576e072fb5d9a8 completed Feb. 28, 2026, 1:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69a255338b6c8190bb31101691ce689a completed Feb. 28, 2026, 2:38 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.