Triple

T16853442
Position Surface form Disambiguated ID Type / Status
Subject Konosuke Matsushita E409728 entity
Predicate founderOf P104 FINISHED
Object Panasonic E84596 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: Panasonic | Statement: [Konosuke Matsushita, founderOf, Panasonic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panasonic
Context triple: [Konosuke Matsushita, founderOf, Panasonic]
  • A. Panasonic chosen
    Panasonic is a major Japanese multinational electronics company known for its wide range of consumer electronics, home appliances, and industrial solutions.
  • B. Panasonic Electric Works
    Panasonic Electric Works is a Japanese company specializing in electrical and electronic equipment, particularly components and building-related systems, and operates as part of the broader Panasonic corporate group.
  • C. Panasonic Homes
    Panasonic Homes is a Japanese homebuilding and real estate development company known for its prefabricated housing and smart, energy-efficient residential solutions.
  • D. Matsushita
    Matsushita is a Japanese surname most prominently associated with Konosuke Matsushita, the industrialist who founded the electronics giant Panasonic.
  • E. Sanyo
    Sanyo is a Japanese electronics brand known for producing a wide range of consumer and industrial electronic products, including televisions, batteries, and home appliances.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b37bbb80819086d844a313625cad completed April 18, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00d452505c8190b6d37b54b2f665f0 completed May 10, 2026, 6:54 p.m.
Created at: April 10, 2026, 5:24 a.m.