Triple

T7983223
Position Surface form Disambiguated ID Type / Status
Subject Hidetoshi Nakata E185623 entity
Predicate givenName P17 FINISHED
Object Hidetoshi E185623 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: Hidetoshi | Statement: [Hidetoshi Nakata, givenName, Hidetoshi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hidetoshi
Context triple: [Hidetoshi Nakata, givenName, Hidetoshi]
  • A. 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.
  • B. Hidetoshi Nakata chosen
    Hidetoshi Nakata is a retired Japanese footballer widely regarded as one of Asia’s greatest players, known for his successful career in Serie A and his influential role in popularizing Japanese football internationally.
  • C. Kenji Shimizu
    Kenji Shimizu was an Imperial Japanese Army officer who served as a senior commander before and during World War II.
  • D. Shunsuke Nakamura
    Shunsuke Nakamura is a renowned Japanese attacking midfielder best known for his precise free-kicks and successful spells in European football, particularly with Celtic.
  • E. Kō Shibasaki
    Kō Shibasaki is a Japanese actress and singer known for prominent roles in films such as "Battle Royale," "One Missed Call," and various high-profile Japanese dramas.
  • 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_69ca829a2cfc819083d591d58ec04075 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c2a1aa881909c3cea280dff38f5 completed March 31, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc567cfe548190bbd163a32c340bcc completed March 31, 2026, 11:19 p.m.
Created at: March 30, 2026, 5:15 p.m.