Triple

T4386183
Position Surface form Disambiguated ID Type / Status
Subject John Ford E99246 entity
Predicate influenced P9 FINISHED
Object Akira Kurosawa E95525 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: Akira Kurosawa | Statement: [John Ford, influenced, Akira Kurosawa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akira Kurosawa
Context triple: [John Ford, influenced, Akira Kurosawa]
  • A. Akira Kurosawa chosen
    Akira Kurosawa was a pioneering Japanese film director and screenwriter renowned for his influential samurai epics and innovative cinematic techniques that shaped world cinema.
  • B. Heigo Kurosawa
    Heigo Kurosawa was a Japanese benshi (silent film narrator) and the older brother of renowned film director Akira Kurosawa.
  • C. Imamura Shohei
    Imamura Shohei was a pioneering Japanese film director and screenwriter known for his gritty, humanistic portrayals of postwar Japanese society and for winning the Palme d'Or at Cannes twice.
  • D. Ishirō Honda
    Ishirō Honda was a Japanese film director best known for pioneering the kaiju genre with classics like the original Godzilla and other iconic monster movies.
  • E. Akira Ifukube
    Akira Ifukube was a Japanese composer best known for his iconic film scores for the Godzilla series and other Toho kaiju movies.
  • 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_69b3454f739481909ff6c28331f0c0b9 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352669f608190b3aa7030d8073e04 completed March 12, 2026, 11:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5f5e74ba481908876629c811d934f completed March 14, 2026, 11:57 p.m.
Created at: March 12, 2026, 11:19 p.m.