Triple

T4592890
Position Surface form Disambiguated ID Type / Status
Subject Mitsuru Ushijima E103536 entity
Predicate givenName P17 FINISHED
Object Mitsuru E104959 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: Mitsuru | Statement: [Mitsuru Ushijima, givenName, Mitsuru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mitsuru
Context triple: [Mitsuru Ushijima, givenName, Mitsuru]
  • A. Mitsuru chosen
    Mitsuru is a Japanese given name that can be used for people of any gender and is borne by various notable figures in sports, arts, and entertainment.
  • B. Ushijima Mitsuru
    Ushijima Mitsuru was an Imperial Japanese Army general best known for commanding Japanese forces during the Battle of Okinawa in World War II.
  • C. Hatsuzuki
    Hatsuzuki was an Imperial Japanese Navy Akizuki-class destroyer that saw action in World War II before being sunk during the Battle off Cape Engaño in 1944.
  • D. Mamoru
    Mamoru is a Japanese masculine given name commonly borne by notable figures in politics, arts, and entertainment.
  • E. Mikoto
    Mikoto is a divine title associated with the Shinto moon god Tsukuyomi, reflecting reverence and honor in Japanese mythology.
  • 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_69bd43dccaf08190aa89e9991a289719 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd593cf8508190acfc6ddb5716e80a completed March 20, 2026, 2:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3988c1d88190923941821e460119 completed March 21, 2026, 6:24 a.m.
Created at: March 20, 2026, 1:11 p.m.