Triple

T16721626
Position Surface form Disambiguated ID Type / Status
Subject The Grudge E406361 entity
Predicate director P255 FINISHED
Object Takashi Shimizu E901910 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: Takashi Shimizu | Statement: [The Grudge, director, Takashi Shimizu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Takashi Shimizu
Context triple: [The Grudge, director, Takashi Shimizu]
  • A. Takashi Shimizu chosen
    Takashi Shimizu is a Japanese film director best known internationally for creating and directing the horror franchise "Ju-on/The Grudge."
  • B. Kenji Shimizu
    Kenji Shimizu was an Imperial Japanese Army officer who served as a senior commander before and during World War II.
  • C. Masakatsu Shibasaki
    Masakatsu Shibasaki is a Japanese chemist renowned for his pioneering work in asymmetric catalysis and the development of chiral ligands used in enantioselective synthesis.
  • D. Hideki Shimizu
    Hideki Shimizu is a Japanese designer best known for creating the iconic International Fountain at Seattle Center.
  • E. Kazuyoshi Akaba
    Kazuyoshi Akaba is a Japanese politician of the Komeito party who has served in the House of Representatives and held cabinet posts, including overseeing Japan’s land, infrastructure, transport, and tourism policy.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e38743750c81908a980372ad8f1a6a completed April 18, 2026, 1:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d41cb6c8190bfa164ad20f009d9 completed May 10, 2026, 2:59 p.m.
Created at: April 10, 2026, 5:20 a.m.