Triple

T6128594
Position Surface form Disambiguated ID Type / Status
Subject Edge of Tomorrow E136652 entity
Predicate productionCompany P490 FINISHED
Object Viz Productions E136652 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: Viz Productions | Statement: [Edge of Tomorrow, productionCompany, Viz Productions]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Viz Productions
Context triple: [Edge of Tomorrow, productionCompany, Viz Productions]
  • A. Viz Productions chosen
    Viz Productions is a film production company known for working on major Hollywood projects such as the science fiction action movie "Edge of Tomorrow."
  • B. Shueisha
    Shueisha is a major Japanese publishing company best known for producing popular manga magazines such as Weekly Shōnen Jump.
  • C. A-1 Pictures
    A-1 Pictures is a Japanese animation studio known for producing popular anime series and films across a wide range of genres.
  • D. Fantagraphics Books
    Fantagraphics Books is an American independent publisher renowned for its high-quality editions of classic and alternative comics and graphic novels.
  • E. Aniplex
    Aniplex is a Japanese anime and music production and distribution company known for producing and licensing numerous popular anime series and 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_69c008a0a37c81908e5b4f879158afb3 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05c4b1df081908dc87fa1c45a43bf completed March 22, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c135cabf808190bbc3ba70eb04126f completed March 23, 2026, 12:44 p.m.
Created at: March 22, 2026, 4:15 p.m.