Triple

T16539595
Position Surface form Disambiguated ID Type / Status
Subject Hōjō Yoshitoki E401785 entity
Predicate givenName P17 FINISHED
Object Yoshitoki
Yoshitoki is a Japanese given name, historically borne by notable figures such as the Kamakura-period regent Hōjō Yoshitoki.
E1249233 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: Yoshitoki | Statement: [Hōjō Yoshitoki, givenName, Yoshitoki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yoshitoki
Context triple: [Hōjō Yoshitoki, givenName, Yoshitoki]
  • A. Atsuhito
    Atsuhito was the personal name of Emperor Daigo, a 10th-century Japanese emperor of the Heian period.
  • B. Takahito
    Takahito, better known by his title Prince Mikasa, was a member of the Japanese imperial family and the youngest son of Emperor Taishō.
  • C. Shintaro
    Shintaro is a Japanese given name commonly used for males and borne by various notable figures in sports, entertainment, and politics.
  • D. Takatoshi
    Takatoshi is a masculine Japanese given name that can be written with various kanji combinations and is borne by multiple notable individuals in Japan.
  • 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: Yoshitoki
Triple: [Hōjō Yoshitoki, givenName, Yoshitoki]
Generated description
Yoshitoki is a Japanese given name, historically borne by notable figures such as the Kamakura-period regent Hōjō Yoshitoki.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yoshitoki
Target entity description: Yoshitoki is a Japanese given name, historically borne by notable figures such as the Kamakura-period regent Hōjō Yoshitoki.
  • A. Atsuhito
    Atsuhito was the personal name of Emperor Daigo, a 10th-century Japanese emperor of the Heian period.
  • B. Takahito
    Takahito, better known by his title Prince Mikasa, was a member of the Japanese imperial family and the youngest son of Emperor Taishō.
  • C. Shintaro
    Shintaro is a Japanese given name commonly used for males and borne by various notable figures in sports, entertainment, and politics.
  • D. Takatoshi
    Takatoshi is a masculine Japanese given name that can be written with various kanji combinations and is borne by multiple notable individuals in Japan.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3455bd43c8190b01560d4af55a9e0 completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a012ec5c99c819082f154267c246e92 completed May 11, 2026, 1:20 a.m.
NEDg Description generation batch_6a012fa27c9c819097631c3d4d828ccf completed May 11, 2026, 1:23 a.m.
NED2 Entity disambiguation (via description) batch_6a01303769c081909ea5dc6af7f324d7 completed May 11, 2026, 1:26 a.m.
Created at: April 10, 2026, 5:15 a.m.