Triple

T4822085
Position Surface form Disambiguated ID Type / Status
Subject Prince Mikasa E107733 entity
Predicate fullName P16 FINISHED
Object Takahito
Takahito, better known by his title Prince Mikasa, was a member of the Japanese imperial family and the youngest son of Emperor Taishō.
 E507901 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: Takahito | Statement: [Prince Mikasa, fullName, Takahito]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Takahito
Context triple: [Prince Mikasa, fullName, Takahito]
  • A. Taisuke
    Taisuke is a Japanese given name notably borne by historical figures such as the Meiji-era politician Itagaki Taisuke.
  • B. Shintaro
    Shintaro is a Japanese given name commonly used for males and borne by various notable figures in sports, entertainment, and politics.
  • C. Masahito
    Masahito is the personal name of Prince Hitachi, a member of the Japanese imperial family and younger brother of Emperor Emeritus Akihito.
  • D. Atsuhito
    Atsuhito was the personal name of Emperor Daigo, a 10th-century Japanese emperor of the Heian period.
  • E. Kentarō
    Kentarō is a Japanese given name commonly used for males, often associated with traditional or strong-sounding name combinations.
  • 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: Takahito
Triple: [Prince Mikasa, fullName, Takahito]
Generated description
Takahito, better known by his title Prince Mikasa, was a member of the Japanese imperial family and the youngest son of Emperor Taishō.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Takahito
Target entity description: Takahito, better known by his title Prince Mikasa, was a member of the Japanese imperial family and the youngest son of Emperor Taishō.
  • A. Taisuke
    Taisuke is a Japanese given name notably borne by historical figures such as the Meiji-era politician Itagaki Taisuke.
  • B. Shintaro
    Shintaro is a Japanese given name commonly used for males and borne by various notable figures in sports, entertainment, and politics.
  • C. Masahito
    Masahito is the personal name of Prince Hitachi, a member of the Japanese imperial family and younger brother of Emperor Emeritus Akihito.
  • D. Atsuhito
    Atsuhito was the personal name of Emperor Daigo, a 10th-century Japanese emperor of the Heian period.
  • E. Kentarō
    Kentarō is a Japanese given name commonly used for males, often associated with traditional or strong-sounding name combinations.
  • 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_69bd43f9efa081908314cb3e94fa1695 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6caa95ec8190bea525dbf3a00477 completed March 20, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf06913b448190be47c002641abd34 completed March 21, 2026, 8:58 p.m.
NEDg Description generation batch_69bf0708405c81908429336ab1a836cd completed March 21, 2026, 9 p.m.
NED2 Entity disambiguation (via description) batch_69bf079d8584819091bb6b9204644971 completed March 21, 2026, 9:03 p.m.
Created at: March 20, 2026, 1:24 p.m.