Triple

T16308524
Position Surface form Disambiguated ID Type / Status
Subject Hiro E395983 entity
Predicate isComponentOf P5722 FINISHED
Object Hironobu
Hironobu is a Japanese given name commonly used for males.
E1346097 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: Hironobu | Statement: [Hiro, isComponentOf, Hironobu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hironobu
Context triple: [Hiro, isComponentOf, Hironobu]
  • A. Itagaki Rihito
    Itagaki Rihito is a Japanese actor and model known for his roles in contemporary television dramas and films.
  • B. Masato Otaka
    Masato Otaka is a Japanese architect associated with the Metabolism movement, known for his contributions to postwar urban planning and visionary megastructure designs.
  • C. Okamura Kazuya
    Okamura Kazuya is a Japanese individual notable enough to be specifically cited as a prominent bearer of the surname Okamura.
  • D. Kenji Aiba
    Kenji Aiba is a Japanese local politician who serves as the mayor of the town of Ōiso in Kanagawa Prefecture.
  • E. Akihiko Kayaba
    Akihiko Kayaba is the brilliant yet ruthless creator of the Sword Art Online virtual reality game who traps thousands of players in his deadly digital world to pursue his ideal of a perfect virtual reality.
  • 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: Hironobu
Triple: [Hiro, isComponentOf, Hironobu]
Generated description
Hironobu is a Japanese given name commonly used for males.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hironobu
Target entity description: Hironobu is a Japanese given name commonly used for males.
  • A. Itagaki Rihito
    Itagaki Rihito is a Japanese actor and model known for his roles in contemporary television dramas and films.
  • B. Masato Otaka
    Masato Otaka is a Japanese architect associated with the Metabolism movement, known for his contributions to postwar urban planning and visionary megastructure designs.
  • C. Okamura Kazuya
    Okamura Kazuya is a Japanese individual notable enough to be specifically cited as a prominent bearer of the surname Okamura.
  • D. Kenji Aiba
    Kenji Aiba is a Japanese local politician who serves as the mayor of the town of Ōiso in Kanagawa Prefecture.
  • E. Akihiko Kayaba
    Akihiko Kayaba is the brilliant yet ruthless creator of the Sword Art Online virtual reality game who traps thousands of players in his deadly digital world to pursue his ideal of a perfect virtual reality.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e288d776808190a7c9918477f07216 completed April 17, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a05674f1c708190aff7078618067fa6 completed May 14, 2026, 6:10 a.m.
NEDg Description generation batch_6a056d27afe0819092716cd60598ba94 completed May 14, 2026, 6:35 a.m.
NED2 Entity disambiguation (via description) batch_6a056deac2708190b6164b6861956cd9 completed May 14, 2026, 6:38 a.m.
Created at: April 10, 2026, 5:06 a.m.