Triple

T15219960
Position Surface form Disambiguated ID Type / Status
Subject Nozu Michitsura E363739 entity
Predicate familyName P18 FINISHED
Object Nozu
Nozu is a Japanese surname most notably borne by historical figures such as Imperial Japanese Army general Nozu Michitsura.
 E1144017 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: Nozu | Statement: [Nozu Michitsura, familyName, Nozu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nozu
Context triple: [Nozu Michitsura, familyName, Nozu]
  • A. Nuriro
    Nuriro is a class of South Korean intercity passenger trains operated by Korail, providing medium-speed rail services on various routes.
  • B. Nishiizu
    Nishiizu is a coastal town in Shizuoka Prefecture, Japan, known for its rugged seaside scenery, hot springs, and views of Suruga Bay.
  • C. Naoero
    Naoero is an alternative name for Nauru, a small island country in the central Pacific Ocean known for its phosphate deposits and status as one of the world’s least populous nations.
  • D. Nozay
    Nozay is a small commune in the Essonne department of the Île-de-France region in northern France.
  • E. Isanzu
    Isanzu is a Bantu language spoken by the Isanzu people of north-central Tanzania.
  • 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: Nozu
Triple: [Nozu Michitsura, familyName, Nozu]
Generated description
Nozu is a Japanese surname most notably borne by historical figures such as Imperial Japanese Army general Nozu Michitsura.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nozu
Target entity description: Nozu is a Japanese surname most notably borne by historical figures such as Imperial Japanese Army general Nozu Michitsura.
  • A. Nuriro
    Nuriro is a class of South Korean intercity passenger trains operated by Korail, providing medium-speed rail services on various routes.
  • B. Nishiizu
    Nishiizu is a coastal town in Shizuoka Prefecture, Japan, known for its rugged seaside scenery, hot springs, and views of Suruga Bay.
  • C. Naoero
    Naoero is an alternative name for Nauru, a small island country in the central Pacific Ocean known for its phosphate deposits and status as one of the world’s least populous nations.
  • D. Nozay
    Nozay is a small commune in the Essonne department of the Île-de-France region in northern France.
  • E. Isanzu
    Isanzu is a Bantu language spoken by the Isanzu people of north-central Tanzania.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007709d3881908384f0fe1e0218d0 completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed345d58c81908a8fd182c0fe7c15 completed May 9, 2026, 6:25 a.m.
NEDg Description generation batch_69fed7620d948190858c3b4acae0cbf5 completed May 9, 2026, 6:42 a.m.
NED2 Entity disambiguation (via description) batch_69fed7d9934c8190bd2d00830e5d33bb completed May 9, 2026, 6:44 a.m.
Created at: April 10, 2026, 3:11 a.m.