Triple

T20629367
Position Surface form Disambiguated ID Type / Status
Subject Sharp LR38802 E506909 entity
Predicate manufacturer P490 FINISHED
Object Sharp Corporation 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: Sharp Corporation | Statement: [Sharp LR38802, manufacturer, Sharp Corporation]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sharp Corporation
Context triple: [Sharp LR38802, manufacturer, Sharp Corporation]
  • A. Sharp Corporation chosen
    Sharp Corporation is a Japanese multinational electronics manufacturer known for its consumer electronics, display technologies, and home appliances.
  • B. Tokyo Tsushin Kogyo
    Tokyo Tsushin Kogyo was the original name of the Japanese electronics company that later became globally known as Sony.
  • C. Matsushita
    Matsushita is a Japanese surname most prominently associated with Konosuke Matsushita, the industrialist who founded the electronics giant Panasonic.
  • D. 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.
  • E. NEC Corporation
    NEC Corporation is a Japanese multinational information technology and electronics company known for providing IT services, network solutions, and telecommunications equipment worldwide.
  • 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_69e0b4bd4a0081908d4e97a590a33fb2 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6abe771e88190a48471bf83b4804d completed April 20, 2026, 10:42 p.m.
Created at: April 16, 2026, 11:42 a.m.