Triple

T13699917
Position Surface form Disambiguated ID Type / Status
Subject Johnny Mnemonic E328488 entity
Predicate starredActor P5563 FINISHED
Object Takeshi Kitano E754276 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: Takeshi Kitano | Statement: [Johnny Mnemonic, starredActor, Takeshi Kitano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Takeshi Kitano
Context triple: [Johnny Mnemonic, starredActor, Takeshi Kitano]
  • A. Takeshi Kitano chosen
    Takeshi Kitano is a renowned Japanese filmmaker, actor, and comedian known for his deadpan performance style and distinctive, often violent yet poetic cinema.
  • B. Shohei Tochimoto
    Shohei Tochimoto is a Japanese ski jumper who has competed internationally, including at World Cup and World Championship events, as a member of Japan’s national team.
  • C. Tsukada Hideo
    Tsukada Hideo is a Japanese individual notable enough to be recognized as a prominent bearer of the surname Tsukada.
  • D. Hiroshi Teshigahara
    Hiroshi Teshigahara was an influential Japanese film director and avant-garde artist best known internationally for his surreal, visually striking works such as "Woman in the Dunes."
  • E. Kon Ichikawa
    Kon Ichikawa was a prominent Japanese film director known for his stylistic versatility and acclaimed works such as "The Burmese Harp" and "Fires on the Plain."
  • 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_69d8076ff62081908a7bd79889edd7a0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc879adc88190b03f1cf815b71061 completed April 12, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f794559e9c81909ef8a6d9b9f480b3 completed May 3, 2026, 6:30 p.m.
Created at: April 9, 2026, 9:54 p.m.