Triple

T6596463
Position Surface form Disambiguated ID Type / Status
Subject Amiga E148486 entity
Predicate notableSoftware P42421 FINISHED
Object Video Toaster E199219 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: Video Toaster | Statement: [Amiga, notableSoftware, Video Toaster]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Video Toaster
Context triple: [Amiga, notableSoftware, Video Toaster]
  • A. NewTek Video Toaster chosen
    NewTek Video Toaster is a pioneering integrated video production and editing system for the Commodore Amiga that enabled affordable broadcast-quality video effects, switching, and 3D animation in the early 1990s.
  • B. Lightworks
    Lightworks is a track by the experimental hip-hop producer Donuts, known for its intricate sampling and innovative beat construction.
  • C. Cutcut
    Cutcut is a barangay (village-level administrative division) located in Angeles City in the province of Pampanga, Philippines.
  • D. TVP
    TVP is Poland’s national public television broadcaster, operating multiple channels and services across the country.
  • E. AVS
    AVS is a professional society focused on advancing the science and technology of materials, interfaces, and processing through research, education, and collaboration.
  • 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_69c687e7b8688190811ffee72e096468 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6aeecdd4c819092b87f4c91883154 completed March 27, 2026, 4:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e42fc9ec8190a6bb19010337d516 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:56 p.m.