Triple

T18132269
Position Surface form Disambiguated ID Type / Status
Subject Chiaki Mukai E434042 entity
Predicate givenName P17 FINISHED
Object Chiaki
Chiaki is a Japanese given name used for people of any gender, often associated with characters in anime, manga, and real-life public figures.
E1309957 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: Chiaki | Statement: [Chiaki Mukai, givenName, Chiaki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chiaki
Context triple: [Chiaki Mukai, givenName, Chiaki]
  • A. Chibiusa
    Chibiusa is a key character in the Sailor Moon series, known as the time-traveling future daughter of Usagi Tsukino and Mamoru Chiba who becomes Sailor Chibi Moon.
  • B. Shinobu
    Shinobu is a Japanese given name commonly used for both males and females and borne by various notable figures in Japanese culture.
  • C. Takako
    Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
  • D. Chiaki Homma
    Chiaki Homma is a Japanese individual known primarily for sharing the Homma surname, though publicly available information about their specific achievements or profession is limited.
  • E. Chikako
    Chikako is a Japanese feminine given name that can be written with various kanji characters and is borne by several notable women in Japan.
  • 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: Chiaki
Triple: [Chiaki Mukai, givenName, Chiaki]
Generated description
Chiaki is a Japanese given name used for people of any gender, often associated with characters in anime, manga, and real-life public figures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Chiaki
Target entity description: Chiaki is a Japanese given name used for people of any gender, often associated with characters in anime, manga, and real-life public figures.
  • A. Chibiusa
    Chibiusa is a key character in the Sailor Moon series, known as the time-traveling future daughter of Usagi Tsukino and Mamoru Chiba who becomes Sailor Chibi Moon.
  • B. Shinobu
    Shinobu is a Japanese given name commonly used for both males and females and borne by various notable figures in Japanese culture.
  • C. Takako
    Takako is a Japanese feminine given name borne by various notable figures in politics, arts, and entertainment.
  • D. Chiaki Homma
    Chiaki Homma is a Japanese individual known primarily for sharing the Homma surname, though publicly available information about their specific achievements or profession is limited.
  • E. Chikako
    Chikako is a Japanese feminine given name that can be written with various kanji characters and is borne by several notable women in Japan.
  • 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_69d8b909e8cc81908df4cc2b8ea6d11f completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddf2c68881909dfbe59df15ddccc completed April 19, 2026, 1:51 p.m.
NED1 Entity disambiguation (via context triple) batch_6a038fb2ffb88190b93b941ef6a49927 completed May 12, 2026, 8:38 p.m.
NEDg Description generation batch_6a03913ef29c8190a9655dba88a8ce8a completed May 12, 2026, 8:44 p.m.
NED2 Entity disambiguation (via description) batch_6a03925c322081909d435251e869194d completed May 12, 2026, 8:49 p.m.
Created at: April 10, 2026, 10:29 a.m.