Triple

T7270943
Position Surface form Disambiguated ID Type / Status
Subject Hirofumi E161100 entity
Predicate nameElement P27866 FINISHED
Object Fumi
Fumi is a Japanese given name element commonly used in various personal names, often carrying meanings related to writing, history, or literature depending on the kanji used.
 E654328 NE FINISHED

How this triple was built (4 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: Fumi | Statement: [Hirofumi, nameElement, Fumi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fumi
Context triple: [Hirofumi, nameElement, Fumi]
  • A. Tsubami
    Tsubami is one of the official bird mascots of the Tokyo Yakult Swallows baseball team, known for her cute design and energetic support of the club.
  • B. Mamoru
    Mamoru is a Japanese masculine given name commonly borne by notable figures in politics, arts, and entertainment.
  • C. Tsutako
    Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
  • D. Takako
    Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
  • E. Nozomi
    Nozomi is the fastest and most premium Shinkansen (bullet train) service operating on Japan’s Tokaido and Sanyo lines, known for its high speed and frequent departures between major cities like Tokyo and Osaka.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Fumi
Triple: [Hirofumi, nameElement, Fumi]
Generated description
Fumi is a Japanese given name element commonly used in various personal names, often carrying meanings related to writing, history, or literature depending on the kanji used.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fumi
Target entity description: Fumi is a Japanese given name element commonly used in various personal names, often carrying meanings related to writing, history, or literature depending on the kanji used.
  • A. Tsubami
    Tsubami is one of the official bird mascots of the Tokyo Yakult Swallows baseball team, known for her cute design and energetic support of the club.
  • B. Mamoru
    Mamoru is a Japanese masculine given name commonly borne by notable figures in politics, arts, and entertainment.
  • C. Tsutako
    Tsutako is a Japanese given name, most notably borne by Tsutako Nakasone.
  • D. Takako
    Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
  • E. Nozomi
    Nozomi is the fastest and most premium Shinkansen (bullet train) service operating on Japan’s Tokaido and Sanyo lines, known for its high speed and frequent departures between major cities like Tokyo and Osaka.
  • F. None of above. chosen

Provenance (5 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_69c6885181008190b419040e22939c7c completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb088dac8190b353f6ea3d686025 completed March 27, 2026, 8:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db25658481909fc8cf86deb436a4 completed March 28, 2026, 1:44 p.m.
NEDg Description generation batch_69c7df68b27081909acd7b903546f1c2 completed March 28, 2026, 2:02 p.m.
NED2 Entity disambiguation (via description) batch_69c7dfdea8a48190b901003a4a60d36f completed March 28, 2026, 2:04 p.m.
Created at: March 27, 2026, 2:58 p.m.