Triple

T15645957
Position Surface form Disambiguated ID Type / Status
Subject SmartCast platform E376177 entity
Predicate developer P73 FINISHED
Object Vizio E77119 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: Vizio | Statement: [SmartCast platform, developer, Vizio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vizio
Context triple: [SmartCast platform, developer, Vizio]
  • A. Vizio chosen
    Vizio is an American consumer electronics company best known for its affordable flat-screen televisions and home entertainment products.
  • B. 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.
  • C. Bravia
    Bravia is Sony's line of high-definition televisions and display products known for their advanced picture and sound technologies.
  • D. Panasonic Viera TV
    Panasonic Viera TV is a line of high-definition televisions by Panasonic known for integrating advanced picture technology with smart connectivity and home theater features.
  • E. Paramount Vantage
    Paramount Vantage was a specialty film division of Paramount Pictures focused on producing and distributing independent, art-house, and prestige films.
  • 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_69d85cd1564c8190991adda63bfab4b0 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04ed5b8b081908d7127964eed3b09 completed April 16, 2026, 2:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6790f2288190add8ab0bc0f114bf completed May 9, 2026, 4:57 p.m.
Created at: April 10, 2026, 4:15 a.m.