Triple

T20761067
Position Surface form Disambiguated ID Type / Status
Subject Team Prime E510976 entity
Predicate alliesWith P435 FINISHED
Object Miko Nakadai 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: Miko Nakadai | Statement: [Team Prime, alliesWith, Miko Nakadai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miko Nakadai
Context triple: [Team Prime, alliesWith, Miko Nakadai]
  • A. Miko Nakadai chosen
    Miko Nakadai is a spirited Japanese exchange student and one of the main human allies of the Autobots in the animated series Transformers: Prime.
  • B. Tatsuya Nakadai
    Tatsuya Nakadai is a renowned Japanese actor celebrated for his powerful performances in classic films by directors such as Akira Kurosawa and Masaki Kobayashi.
  • C. Toshirō Mifune
    Toshirō Mifune was a legendary Japanese actor best known for his iconic collaborations with director Akira Kurosawa in classic samurai and period films such as "Seven Samurai" and "Yojimbo."
  • D. Seiji Noma
    Seiji Noma was a prominent Japanese publisher and founder of the Kodansha publishing company, known for his major influence on modern Japanese literature and culture.
  • E. Tsukada Ryō
    Tsukada Ryō is a Japanese individual notable for bearing the surname Tsukada, though specific widely recognized achievements or roles are not well documented.
  • 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_69e0b4c909ec8190b05987f1639513f6 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c248701081908ae49fca933e05f6 completed April 21, 2026, 12:18 a.m.
Created at: April 16, 2026, 12:35 p.m.