Triple

T14441335
Position Surface form Disambiguated ID Type / Status
Subject Viera Link E358088 entity
Predicate featureOf P1094 FINISHED
Object Panasonic AV receivers 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 AV receivers | Statement: [Viera Link, featureOf, Panasonic AV receivers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panasonic AV receivers
Context triple: [Viera Link, featureOf, Panasonic AV receivers]
  • A. Denon
    Denon is a Japanese audio equipment manufacturer renowned for its high-fidelity home theater systems, amplifiers, and headphones.
  • B. Panasonic chosen
    Panasonic is a major Japanese multinational electronics company known for its wide range of consumer electronics, home appliances, and industrial solutions.
  • C. Denon Wing
    Denon Wing is one of the main wings of the Louvre Museum in Paris, housing many of its most famous artworks, including Leonardo da Vinci’s Mona Lisa.
  • D. Toshiba REGZA
    Toshiba REGZA is a line of high-definition televisions and display devices produced by Toshiba, known for their advanced picture processing and multimedia features.
  • E. Panasonic India
    Panasonic India is the Indian subsidiary of the Japanese multinational electronics company Panasonic Corporation, responsible for manufacturing, marketing, and distributing its consumer and business technology products across India.
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de914c1398819090fa2a74d257ba3e completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bda6ee88190aeec77092eb3576a completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:18 a.m.