Triple

T15618963
Position Surface form Disambiguated ID Type / Status
Subject Tachū Naitō E375494 entity
Predicate familyName P18 FINISHED
Object Naitō
Naitō is a Japanese surname borne by various notable figures in fields such as architecture, politics, and the arts.
 E1395873 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: Naitō | Statement: [Tachū Naitō, familyName, Naitō]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Naitō
Context triple: [Tachū Naitō, familyName, Naitō]
  • A. 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.
  • B. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • C. Sumio
    Sumio is a Japanese physicist best known for his pioneering discovery and characterization of carbon nanotubes.
  • D. 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.
  • E. Izutsu
    Izutsu is a classical Noh play, traditionally attributed to Zeami Motokiyo, that poignantly depicts love, memory, and longing through the story of a woman haunted by her past.
  • 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: Naitō
Triple: [Tachū Naitō, familyName, Naitō]
Generated description
Naitō is a Japanese surname borne by various notable figures in fields such as architecture, politics, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Naitō
Target entity description: Naitō is a Japanese surname borne by various notable figures in fields such as architecture, politics, and the arts.
  • A. 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.
  • B. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • C. Sumio
    Sumio is a Japanese physicist best known for his pioneering discovery and characterization of carbon nanotubes.
  • D. 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.
  • E. Izutsu
    Izutsu is a classical Noh play, traditionally attributed to Zeami Motokiyo, that poignantly depicts love, memory, and longing through the story of a woman haunted by her past.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e997ce481909b2f10d25705fbc6 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_6a07c4dd20d88190bc3dc16062764414 completed May 16, 2026, 1:14 a.m.
NEDg Description generation batch_6a07c5aea8948190b6e5bbcea8053478 completed May 16, 2026, 1:17 a.m.
NED2 Entity disambiguation (via description) batch_6a07c6846fb481908e1d5aae2c53a7ba completed May 16, 2026, 1:21 a.m.
Created at: April 10, 2026, 4:13 a.m.