Triple

T3877500
Position Surface form Disambiguated ID Type / Status
Subject Eisaku Tomioka E92537 entity
Predicate familyName P18 FINISHED
Object Tomioka
Tomioka is a Japanese surname borne by various notable individuals in fields such as politics, sports, and the arts.
 E525527 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: Tomioka | Statement: [Eisaku Tomioka, familyName, Tomioka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tomioka
Context triple: [Eisaku Tomioka, familyName, Tomioka]
  • A. Kawagoe
    Kawagoe is a historic Japanese city in Saitama Prefecture, often called "Little Edo" for its well-preserved Edo-period streetscapes and traditional warehouses.
  • B. Maishima
    Maishima is a man-made island in Osaka, Japan, known for its sports facilities, event venues, and waterfront recreational areas.
  • C. Koshigaya
    Koshigaya is a suburban city in Japan known for its large shopping complexes and residential communities within the Greater Tokyo metropolitan area.
  • D. Toyako Town
    Toyako Town is a lakeside town in Hokkaido, Japan, known for its scenic volcanic landscapes, hot springs, and outdoor recreation around Lake Tōya.
  • E. Izumisano
    Izumisano is a coastal city in Osaka Prefecture, Japan, known as the mainland gateway to Kansai International Airport and a hub for regional commerce and travel.
  • 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: Tomioka
Triple: [Eisaku Tomioka, familyName, Tomioka]
Generated description
Tomioka is a Japanese surname borne by various notable individuals in fields such as politics, sports, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tomioka
Target entity description: Tomioka is a Japanese surname borne by various notable individuals in fields such as politics, sports, and the arts.
  • A. Kawagoe
    Kawagoe is a historic Japanese city in Saitama Prefecture, often called "Little Edo" for its well-preserved Edo-period streetscapes and traditional warehouses.
  • B. Maishima
    Maishima is a man-made island in Osaka, Japan, known for its sports facilities, event venues, and waterfront recreational areas.
  • C. Koshigaya
    Koshigaya is a suburban city in Japan known for its large shopping complexes and residential communities within the Greater Tokyo metropolitan area.
  • D. Toyako Town
    Toyako Town is a lakeside town in Hokkaido, Japan, known for its scenic volcanic landscapes, hot springs, and outdoor recreation around Lake Tōya.
  • E. Izumisano
    Izumisano is a coastal city in Osaka Prefecture, Japan, known as the mainland gateway to Kansai International Airport and a hub for regional commerce and travel.
  • 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_69aed967448c819086c4b358d37b25aa completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec72fa7c81909c73b3cf90597e9a completed March 9, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf91db342c819084d3f59157518128 completed March 22, 2026, 6:53 a.m.
NEDg Description generation batch_69bf9244e538819086f1ecc818e0d5cd completed March 22, 2026, 6:55 a.m.
NED2 Entity disambiguation (via description) batch_69bf92b95f248190b7260625ce1d18a2 completed March 22, 2026, 6:56 a.m.
Created at: March 9, 2026, 3:20 p.m.