Triple

T20900773
Position Surface form Disambiguated ID Type / Status
Subject Batman: Gotham Knight E514661 entity
Predicate productionCompany P490 FINISHED
Object Production I.G NE NERFINISHED

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: Production I.G | Statement: [Batman: Gotham Knight, productionCompany, Production I.G]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Production I.G
Context triple: [Batman: Gotham Knight, productionCompany, Production I.G]
  • A. Production I.G chosen
    Production I.G is a renowned Japanese animation studio known for high-quality, stylistically distinctive works such as Ghost in the Shell and numerous other influential anime films and series.
  • B. Se Lavi Productions
    Se Lavi Productions is a music production and recording company known for working with artists such as Kaash Paige.
  • C. Aniplex
    Aniplex is a Japanese anime and music production and distribution company known for producing and licensing numerous popular anime series and films.
  • D. 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.
  • E. Itec Productions
    Itec Productions is a themed entertainment design and fabrication company known for creating major attractions for theme parks, including high-profile ride systems and immersive experiences.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4f8a1108190bce3d31331290ced completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6e8fa5228819084341dbc813cc1e3 completed April 21, 2026, 3:03 a.m.
Created at: April 16, 2026, 12:47 p.m.