Triple

T23349107
Position Surface form Disambiguated ID Type / Status
Subject Kubo and the Two Strings E591956 entity
Predicate voiceCast P18510 FINISHED
Object George Takei 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: George Takei | Statement: [Kubo and the Two Strings, voiceCast, George Takei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: George Takei
Context triple: [Kubo and the Two Strings, voiceCast, George Takei]
  • A. George Takei chosen
    George Takei is an American actor, author, and activist best known for his role as Hikaru Sulu in the original Star Trek television series and films.
  • B. Brad Takei
    Brad Takei is an American producer and LGBTQ+ activist best known as the husband and business partner of actor and activist George Takei.
  • C. Todd Yasui
    Todd Yasui is a television producer best known for his work as an executive producer on Jerry Seinfeld’s web series "Comedians in Cars Getting Coffee."
  • D. Richard Hashimoto
    Richard Hashimoto is a film producer best known for his work on the 1988 dark comedy-fantasy movie "Beetlejuice."
  • E. Frank H. Ogawa
    Frank H. Ogawa was a Japanese American civil rights leader and longtime Oakland city council member who became a prominent advocate for social justice and community development.
  • 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_69e25d20e3d08190bcede87673cafb25 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f199cb2a3c8190a5c0c8d8735256c7 completed April 29, 2026, 5:40 a.m.
Created at: April 17, 2026, 5:19 p.m.