Triple

T6092106
Position Surface form Disambiguated ID Type / Status
Subject Jeff Bewkes E135789 entity
Predicate employer P7 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: [Jeff Bewkes, employer, Time Warner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Time Warner
Context triple: [Jeff Bewkes, employer, 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. Warner Communications
    Warner Communications was a major American media and entertainment conglomerate that became a core component of the later Time Warner corporation.
  • C. Viacom
    Viacom is a major American media conglomerate known for its extensive portfolio of television networks, film production, and entertainment brands.
  • D. NBCUniversal
    NBCUniversal is a major American media and entertainment conglomerate known for its television networks, film studio, and extensive sports broadcasting portfolio.
  • E. Turner Broadcasting System
    Turner Broadcasting System is a major American media company best known for operating cable television networks such as CNN, TBS, and TNT.
  • 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_69c0087cd3c48190b459848c72d84eb1 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c057ab7324819086d4708e6f9391c0 completed March 22, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c125365a7481909e40d01c2d3590aa completed March 23, 2026, 11:34 a.m.
Created at: March 22, 2026, 4:12 p.m.