Triple

T7718044
Position Surface form Disambiguated ID Type / Status
Subject Princess Akishino E174936 entity
Predicate familyName P18 FINISHED
Object Kawashima
Kawashima is a Japanese surname notably borne by Princess Akishino of the Japanese imperial family.
E691733 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: Kawashima | Statement: [Princess Akishino, familyName, Kawashima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kawashima
Context triple: [Princess Akishino, familyName, Kawashima]
  • A. Kamiyama
    Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
  • B. Kubashima
    Kubashima is one of the small, uninhabited islets that make up the disputed Senkaku Islands in the East China Sea.
  • C. Ushijima
    Ushijima is a Japanese surname borne by various notable individuals, including military figures and fictional characters.
  • D. Munakata
    Munakata is a coastal city in Japan known for its ancient Munakata Taisha Shinto shrines and its location in northern Fukuoka Prefecture on Kyushu Island.
  • E. Oyamazaki
    Oyamazaki is a town in Kyoto Prefecture, Japan, known for its historical significance and scenic location at the confluence of major rivers and transportation routes.
  • 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: Kawashima
Triple: [Princess Akishino, familyName, Kawashima]
Generated description
Kawashima is a Japanese surname notably borne by Princess Akishino of the Japanese imperial family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kawashima
Target entity description: Kawashima is a Japanese surname notably borne by Princess Akishino of the Japanese imperial family.
  • A. Kamiyama
    Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
  • B. Kubashima
    Kubashima is one of the small, uninhabited islets that make up the disputed Senkaku Islands in the East China Sea.
  • C. Ushijima
    Ushijima is a Japanese surname borne by various notable individuals, including military figures and fictional characters.
  • D. Munakata
    Munakata is a coastal city in Japan known for its ancient Munakata Taisha Shinto shrines and its location in northern Fukuoka Prefecture on Kyushu Island.
  • E. Oyamazaki
    Oyamazaki is a town in Kyoto Prefecture, Japan, known for its historical significance and scenic location at the confluence of major rivers and transportation routes.
  • 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_69c6995c463c8190a14458036249d419 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702ceb23481909600f876023dde92 completed March 27, 2026, 10:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9a53a44e48190bddf0f4faec136e7 completed March 29, 2026, 10:18 p.m.
NEDg Description generation batch_69c9a665ccc081909564e4c83dbd303c completed March 29, 2026, 10:23 p.m.
NED2 Entity disambiguation (via description) batch_69c9a6b366348190b72f896243c70c38 completed March 29, 2026, 10:24 p.m.
Created at: March 27, 2026, 4:05 p.m.