Triple

T19639720
Position Surface form Disambiguated ID Type / Status
Subject Nagako E471498 entity
Predicate alsoKnownAs P39 FINISHED
Object Kōjun 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: Kōjun | Statement: [Nagako, alsoKnownAs, Kōjun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kōjun
Context triple: [Nagako, alsoKnownAs, Kōjun]
  • A. Kōjun chosen
    Kōjun was the posthumous name of Empress Kōjun, the wife of Emperor Shōwa (Hirohito) and mother of Emperor Emeritus Akihito of Japan.
  • B. Ryojun
    Ryojun is the former Japanese name for Lüshunkou, a strategically important port city in northeastern China historically known for its military significance.
  • C. Michitaka
    Michitaka is a Japanese given name that has been borne by various historical and contemporary figures.
  • D. Rokusei
    Rokusei is a Japanese tokusatsu superhero team that succeeds Gosei in the narrative sequence of its series.
  • E. Kōki
    Kōki is a Japanese given name commonly used for males and borne by various notable figures in Japan.
  • 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_69d8e511f28481909f4bc3ea9191e54a completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e641215df48190926b38e6502bb83e completed April 20, 2026, 3:07 p.m.
Created at: April 10, 2026, 1:44 p.m.