Triple

T40617
Position Surface form Disambiguated ID Type / Status
Subject Time Inc. E802 entity
Predicate parentCompany P254 FINISHED
Object Time Warner 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: Time Warner | Statement: [Time Inc., parentCompany, Time Warner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Time Warner
Context triple: [Time Inc., parentCompany, Time Warner]
  • 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. The Walt Disney Company
    The Walt Disney Company is a global entertainment conglomerate known for its iconic animated films, theme parks, media networks, and consumer products.
  • C. Atlantic Media
    Atlantic Media is an American media company best known for owning and operating influential publications such as The Atlantic.
  • D. Time Inc.
    Time Inc. was a major American media company best known for publishing influential magazines such as Time, Life, Sports Illustrated, and Fortune.
  • E. Meredith Corporation
    Meredith Corporation was a major American media and marketing company best known for its portfolio of lifestyle magazines and television broadcasting assets.
  • 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_69a25ab3438c81908ff16eb23a09fea7 completed Feb. 28, 2026, 3:02 a.m.
Created at: Feb. 28, 2026, 1:46 a.m.