Triple

T14441337
Position Surface form Disambiguated ID Type / Status
Subject Viera Link E358088 entity
Predicate marketedAs P1395 FINISHED
Object Viera Link E358088 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: Viera Link | Statement: [Viera Link, marketedAs, Viera Link]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viera Link
Context triple: [Viera Link, marketedAs, Viera Link]
  • A. Viera Link chosen
    Viera Link is Panasonic’s brand name for its HDMI-CEC feature that lets compatible audio-video devices be controlled through a single TV remote over an HDMI connection.
  • B. Zora Vesecká
    Zora Vesecká is a Czech individual whose given name is Zora, a common female name in Slavic countries.
  • C. Zora Jandová
    Zora Jandová is a Czech actress, singer, and former radio journalist known for her work in film, television, and music.
  • D. Zita Horváth
    Zita Horváth is a Hungarian academic and university leader who serves as the rector of the University of Miskolc.
  • E. Salka Valka
    Salka Valka is a socially conscious novel by Icelandic Nobel laureate Halldór Laxness that portrays the struggles of a young woman and a fishing village amid poverty, class conflict, and political awakening.
  • 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_69fd648d8904819084d720a0fd2ddb4b completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:18 a.m.