Triple

T9994966
Position Surface form Disambiguated ID Type / Status
Subject Tadanobu Asano E197179 entity
Predicate hasChild P369 FINISHED
Object Himi
Himi is a child of Japanese actor and musician Tadanobu Asano.
 E837868 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: Himi | Statement: [Tadanobu Asano, hasChild, Himi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Himi
Context triple: [Tadanobu Asano, hasChild, Himi]
  • A. Himu
    Himu is a popular fictional wanderer-philosopher character in Bangladeshi literature, known for his yellow panjabi, barefoot roaming, and unconventional outlook on life.
  • B. Ihi
    Ihi is an ancient Egyptian child god linked to music and joy, often depicted playing the sistrum and associated with the goddess Hathor.
  • C. Harumi
    Harumi is a waterfront district in Tokyo’s Chūō ward known for its high-rise residential towers and role in the Tokyo 2020 Olympic and Paralympic Village.
  • D. Miho
    Miho is a deadly, silent assassin and protector of Old Town in Frank Miller's Sin City graphic novel series.
  • E. Miyabi
    Miyabi is a traditional Japanese-inspired lighting theme used on Tokyo Skytree, characterized by elegant, refined color schemes that evoke classical aesthetics.
  • 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: Himi
Triple: [Tadanobu Asano, hasChild, Himi]
Generated description
Himi is a child of Japanese actor and musician Tadanobu Asano.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Himi
Target entity description: Himi is a child of Japanese actor and musician Tadanobu Asano.
  • A. Himu
    Himu is a popular fictional wanderer-philosopher character in Bangladeshi literature, known for his yellow panjabi, barefoot roaming, and unconventional outlook on life.
  • B. Ihi
    Ihi is an ancient Egyptian child god linked to music and joy, often depicted playing the sistrum and associated with the goddess Hathor.
  • C. Harumi
    Harumi is a waterfront district in Tokyo’s Chūō ward known for its high-rise residential towers and role in the Tokyo 2020 Olympic and Paralympic Village.
  • D. Miho
    Miho is a deadly, silent assassin and protector of Old Town in Frank Miller's Sin City graphic novel series.
  • E. Miyabi
    Miyabi is a traditional Japanese-inspired lighting theme used on Tokyo Skytree, characterized by elegant, refined color schemes that evoke classical aesthetics.
  • 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_69ca82f3b61c81908ecc2c1c96dbc2e4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcb99ac74819091f20816478ea375 completed April 2, 2026, 1:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69d281f6bd5081908c50cc22280ce6a0 completed April 5, 2026, 3:38 p.m.
NEDg Description generation batch_69d285da25348190a8371ce5cc7138bb completed April 5, 2026, 3:55 p.m.
NED2 Entity disambiguation (via description) batch_69d2863a03088190a8d03efcb6d9c2cc completed April 5, 2026, 3:56 p.m.
Created at: March 30, 2026, 8:50 p.m.