Triple

T9001155
Position Surface form Disambiguated ID Type / Status
Subject CloverWorks E215041 entity
Predicate formerName P65 FINISHED
Object A-1 Pictures Kōenji Studio E215040 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: A-1 Pictures Kōenji Studio | Statement: [CloverWorks, formerName, A-1 Pictures Kōenji Studio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: A-1 Pictures Kōenji Studio
Context triple: [CloverWorks, formerName, A-1 Pictures Kōenji Studio]
  • A. A-1 Pictures chosen
    A-1 Pictures is a Japanese animation studio known for producing popular anime series and films across a wide range of genres.
  • B. Aniplex
    Aniplex is a Japanese anime and music production and distribution company known for producing and licensing numerous popular anime series and films.
  • C. C2 Pictures
    C2 Pictures is a film production company best known for reviving the Terminator franchise in the early 2000s.
  • D. P.A. Works
    P.A. Works is a Japanese animation studio known for producing visually rich and emotionally driven anime series such as Angel Beats!, Shirobako, and Nagi-Asu: A Lull in the Sea.
  • E. A-studio
    A-studio is a Finnish current affairs television program known for its in-depth interviews and analysis of topical social and political issues.
  • 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_69ca83a12d648190b1e4fe11e8a31890 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6954bb1881908d004a26ba7fe360 completed April 1, 2026, 12:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0543acf50819091d0d831a106e169 completed April 3, 2026, 11:58 p.m.
Created at: March 30, 2026, 7:05 p.m.