Triple

T1993657
Position Surface form Disambiguated ID Type / Status
Subject Yoshihisa Hirano E43308 entity
Predicate familyName P18 FINISHED
Object Hirano
Hirano is a Japanese surname borne by various notable individuals across fields such as music, sports, and entertainment.
 E332740 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: Hirano | Statement: [Yoshihisa Hirano, familyName, Hirano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hirano
Context triple: [Yoshihisa Hirano, familyName, Hirano]
  • A. Murayama
    Murayama is a Japanese surname borne by various notable individuals across fields such as politics, science, and the arts.
  • B. Takamado
    Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
  • C. Wakatsuki
    Wakatsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk during late-war Pacific naval operations.
  • D. Nakano
    Nakano is a special ward in Tokyo, Japan, known for its dense urban neighborhoods, anime and subculture shopping areas, and convenient access to central Tokyo.
  • E. Nishiwaki
    Nishiwaki is a city in central Hyōgo Prefecture, Japan, known for its location near the geographic center of the country and its mix of industrial and rural landscapes.
  • 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: Hirano
Triple: [Yoshihisa Hirano, familyName, Hirano]
Generated description
Hirano is a Japanese surname borne by various notable individuals across fields such as music, sports, and entertainment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hirano
Target entity description: Hirano is a Japanese surname borne by various notable individuals across fields such as music, sports, and entertainment.
  • A. Murayama
    Murayama is a Japanese surname borne by various notable individuals across fields such as politics, science, and the arts.
  • B. Takamado
    Takamado is a Japanese imperial family name most prominently associated with the late Prince Takamado and his descendants, a branch of Japan’s royal household.
  • C. Wakatsuki
    Wakatsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk during late-war Pacific naval operations.
  • D. Nakano
    Nakano is a special ward in Tokyo, Japan, known for its dense urban neighborhoods, anime and subculture shopping areas, and convenient access to central Tokyo.
  • E. Nishiwaki
    Nishiwaki is a city in central Hyōgo Prefecture, Japan, known for its location near the geographic center of the country and its mix of industrial and rural landscapes.
  • 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_69a88714cf2c819081644be450b8356e completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb86275c88190bed869e9d3cf7ed5 completed March 7, 2026, 5:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69b235511e848190897493ab54d2f198 completed March 12, 2026, 3:38 a.m.
NEDg Description generation batch_69b2365f20dc819081b8d2beccc31c19 completed March 12, 2026, 3:43 a.m.
NED2 Entity disambiguation (via description) batch_69b237397e14819093a7192d28c59ad1 completed March 12, 2026, 3:47 a.m.
Created at: March 4, 2026, 7:37 p.m.