Triple

T9614404
Position Surface form Disambiguated ID Type / Status
Subject REGZA E232182 entity
Predicate manufacturer P490 FINISHED
Object Toshiba E45910 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: Toshiba | Statement: [REGZA, manufacturer, Toshiba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Toshiba
Context triple: [REGZA, manufacturer, Toshiba]
  • A. Toshiba chosen
    Toshiba is a major Japanese multinational conglomerate known for its electronics, semiconductors, and information technology products and services.
  • B. Hitachi
    Hitachi is a Japanese multinational conglomerate known for its wide range of businesses spanning information technology, infrastructure, industrial systems, and consumer electronics.
  • C. Sharp Corporation
    Sharp Corporation is a Japanese multinational electronics manufacturer known for its consumer electronics, display technologies, and home appliances.
  • D. NEC Corporation
    NEC Corporation is a Japanese multinational information technology and electronics company known for providing IT services, network solutions, and telecommunications equipment worldwide.
  • E. Matsushita Electric Industrial Co.
    Matsushita Electric Industrial Co., better known globally by its brand name Panasonic, is a major Japanese multinational electronics manufacturer and technology company.
  • 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_69ca84867bb88190b4b57dd5a56d5691 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9aaaa47881908d69381d4d11f49b completed April 1, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69d190e248bc819080d0c72c9a65482d completed April 4, 2026, 10:29 p.m.
Created at: March 30, 2026, 8:09 p.m.