Triple

T14196010
Position Surface form Disambiguated ID Type / Status
Subject Kido Takayoshi E351836 entity
Predicate familyName P18 FINISHED
Object Kido E351836 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: Kido | Statement: [Kido Takayoshi, familyName, Kido]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kido
Context triple: [Kido Takayoshi, familyName, Kido]
  • A. Kido chosen
    Kido is a Japanese surname most famously borne by Kido Takayoshi, a key samurai statesman of the Meiji Restoration.
  • B. Shoki
    "Shoki" is a popular Nigerian street-hop song by Lil Kesh that helped propel him to mainstream fame and popularized a viral dance of the same name.
  • C. Son Kitei
    Son Kitei was the Korean-born marathon runner who won the gold medal for Japan at the 1936 Berlin Olympics, later symbolizing the complex colonial history between Korea and Japan.
  • D. Kyodai
    Kyodai is the common abbreviated name for Kyoto University, one of Japan’s most prestigious national research universities.
  • E. Michitaka
    Michitaka is a Japanese given name that has been borne by various historical and contemporary figures.
  • 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61e1fbd48190a4864fa4443f8f29 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd280aaa1c8190a957dfc2c624e3f6 completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:04 a.m.