Triple

T18861745
Position Surface form Disambiguated ID Type / Status
Subject CNET E461327 entity
Predicate operatedBy P86 FINISHED
Object CBS Interactive 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: CBS Interactive | Statement: [CNET, operatedBy, CBS Interactive]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CBS Interactive
Context triple: [CNET, operatedBy, CBS Interactive]
  • A. CBS Interactive chosen
    CBS Interactive was the digital division of CBS Corporation, overseeing its online media properties and streaming platforms.
  • B. Fox Interactive Media
    Fox Interactive Media was a digital media subsidiary of News Corporation that managed the company’s online properties, including major social networking and entertainment sites in the mid-2000s.
  • C. InterActiveCorp
    InterActiveCorp is a media and internet conglomerate known for owning and operating a diverse portfolio of online brands and services.
  • D. Activision Publishing
    Activision Publishing is a major American video game publisher best known for franchises like Call of Duty, Crash Bandicoot, and Tony Hawk’s Pro Skater.
  • E. Electronic Arts
    Electronic Arts is a major American video game company best known for publishing popular franchises such as FIFA, Madden NFL, Battlefield, and The Sims.
  • 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_69d8dcfb7b9c8190854e7b171b98ea2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c06184d88190bd05413a07a8c9ce completed April 20, 2026, 5:57 a.m.
Created at: April 10, 2026, 11:57 a.m.