Triple

T4745934
Position Surface form Disambiguated ID Type / Status
Subject Hiroshi Sugimoto E105360 entity
Predicate familyName P18 FINISHED
Object Sugimoto
Sugimoto is a Japanese surname borne by various notable individuals across fields such as art, sports, and academia.
 E504202 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: Sugimoto | Statement: [Hiroshi Sugimoto, familyName, Sugimoto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sugimoto
Context triple: [Hiroshi Sugimoto, familyName, Sugimoto]
  • A. Takanami
    Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
  • B. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • C. Takayoshi
    Takayoshi is a Japanese given name notably borne by Kido Takayoshi, a key samurai and statesman of the Meiji Restoration.
  • D. Shimotsuki
    Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
  • E. Kiyokawa
    Kiyokawa is a small rural village in Kanagawa Prefecture, Japan, known for its mountainous scenery and outdoor recreation.
  • 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: Sugimoto
Triple: [Hiroshi Sugimoto, familyName, Sugimoto]
Generated description
Sugimoto is a Japanese surname borne by various notable individuals across fields such as art, sports, and academia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sugimoto
Target entity description: Sugimoto is a Japanese surname borne by various notable individuals across fields such as art, sports, and academia.
  • A. Takanami
    Takanami was a Japanese destroyer of the Imperial Japanese Navy during World War II, notable for being sunk in the Battle of Tassafaronga in 1942.
  • B. Takaishi
    Takaishi is a city in Osaka Prefecture, Japan, known as a small industrial and residential hub within the Osaka metropolitan area.
  • C. Takayoshi
    Takayoshi is a Japanese given name notably borne by Kido Takayoshi, a key samurai and statesman of the Meiji Restoration.
  • D. Shimotsuki
    Shimotsuki was a Japanese destroyer of the Imperial Japanese Navy that served in World War II before being sunk in late 1944.
  • E. Kiyokawa
    Kiyokawa is a small rural village in Kanagawa Prefecture, Japan, known for its mountainous scenery and outdoor recreation.
  • 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_69bd43ef87a48190a5bc3600711aa032 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64ab946481909eccdb3e8c5d1f6a completed March 20, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69beef8499148190968800153a95174a completed March 21, 2026, 7:20 p.m.
NEDg Description generation batch_69bef22910e08190bed145941d40bc16 completed March 21, 2026, 7:31 p.m.
NED2 Entity disambiguation (via description) batch_69bef24df22c81908fa0c7f9620bb69b completed March 21, 2026, 7:32 p.m.
Created at: March 20, 2026, 1:20 p.m.